Python Developer Jobs in Bahrain

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>We are</strong> currently looking for <strong>Data Engineer (Offshore) </strong>for our<strong> Bahrain </strong>operations with the following skillsets and terms &amp; conditions:</p><br><p><strong>Years of Experience 7 - 10 years</strong></p><br><p><strong>Qualification: </strong>Bachelor's Degree, Computer Science, BE Computer Science and Engineering</p><br><p><strong>Tools Required</strong>: Data Engineering on Cloud, Big Data Architecture, AI/ML Data Pipelines</p><br><p><strong>Professional Certifications Required</strong>: Google Cloud Certified – Professional Data Engineer or equivalent</p><br><p><strong>Experience Required:</strong></p><br><ul><li>Ability to design and build scalable data pipelines</li><li>knowledge of data modeling and warehousing concepts</li><li>Familiarity with big data tools (e.g., Spark, Hadoop)</li><li>Experience with cloud platforms (e.g., Azure, AWS, GCP)</li><li>Ability to work with structured and unstructured data</li><li>Understanding of data governance and security</li><li>Ability to support AI/ML model deployment and data preparation</li><li>Proficiency in SQL, Python, and data orchestration tools</li></ul><p><strong>Job Responsibility:</strong></p><br><ul><li>Design and implement scalable data pipelines to support AI banking initiatives</li><li>Collaborate with data scientists to prepare and transform data for model training</li><li>Develop and maintain data lake and data warehouse solutions</li><li>Ensure data quality, integrity, and security across platforms</li><li>Integrate data from core banking systems, digital channels, and external sources</li><li>Optimize data workflows for performance and cost efficiency</li><li>Support real-time and batch data processing using modern data frameworks</li><li>Implement data governance policies and metadata management</li><li>Data Pipeline Development</li><li>Big Data Technologies</li><li>Cloud Data Engineering</li><li>SQL and Python</li><li>Data Modeling &amp; Warehousing</li><li>AI/ML Data Preparation</li><li>Data Governance &amp; Security</li><li>Agile &amp; DevOps Collaboration</li></ul><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p> <strong>VAM Systems </strong>is currently looking for <strong>Data Engineer (Offshore) </strong>for our<strong> Bahrain </strong>operations with the following skillsets and terms &amp; conditions:</p> <p> <strong>Years of Experience 7 - 10 years</strong> </p> <p> <strong>Qualification: </strong>Bachelor's Degree, Computer Science, BE Computer Science and Engineering</p> <p> <strong>Tools Required</strong>: Data Engineering on Cloud, Big Data Architecture, AI/ML Data Pipelines</p> <p> <strong>Professional Certifications Required</strong>: Google Cloud Certified Professional Data Engineer or equivalent</p> <p> <strong>Experience Required:</strong> </p> <ul> <li>Ability to design and build scalable data pipelines</li> <li>knowledge of data modeling and warehousing concepts</li> <li>Familiarity with big data tools (e.g., Spark, Hadoop)</li> <li>Experience with cloud platforms (e.g., Azure, AWS, GCP)</li> <li>Ability to work with structured and unstructured data</li> <li>Understanding of data governance and security</li> <li>Ability to support AI/ML model deployment and data preparation</li> <li>Proficiency in SQL, Python, and data orchestration tools</li> </ul> <p> <strong>Job Responsibility:</strong> </p> <ul> <li>Design and implement scalable data pipelines to support AI banking initiatives</li> <li>Collaborate with data scientists to prepare and transform data for model training</li> <li>Develop and maintain data lake and data warehouse solutions</li> <li>Ensure data quality, integrity, and security across platforms</li> <li>Integrate data from core banking systems, digital channels, and external sources</li> <li>Optimize data workflows for performance and cost efficiency</li> <li>Support real-time and batch data processing using modern data frameworks</li> <li>Implement data governance policies and metadata management</li> <li>Data Pipeline Development</li> <li>Big Data Technologies</li> <li>Cloud Data Engineering</li> <li>SQL and Python</li> <li>Data Modeling &amp; Warehousing</li> <li>AI/ML Data Preparation</li> <li>Data Governance &amp; Security</li> <li>Agile &amp; DevOps Collaboration</li> </ul> <p> <strong>The selected candidates shall join VAM Systems - Bahrain and shall be deputed to one of the leading Banks</strong> <strong> </strong> <strong>in Bahrain.</strong></p></div></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>VAM Systems </strong>is currently looking for<strong>AI Claude Engineer </strong>for our<strong> Bahrain </strong>operations with the following skillsets &amp; terms and conditions:</p><br><p><strong>Qualification</strong>: BE / BTech in Computer Science, Artificial Intelligence, Data Science or related field</p><br><p><strong>Years of Experience: 2Yr</strong></p><br><p><strong>Skills</strong></p><br><p>Strong knowledge of Generative AI and Large Language Models (LLMs).</p><br><p>Experience working with Claude AI / Anthropic APIs.</p><br><p>Strong knowledge of Prompt Engineering.</p><br><p>Experience in Python programming.</p><br><p>Knowledge of LangChain / LangGraph frameworks.</p><br><p>Experience with RAG (Retrieval-Augmented Generation).</p><br><br><br> </div>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Requirements:</h4> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled senior Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <p>This is a freelance role for a Tendem project. As a senior Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities:</h4> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> <h4>Requirements:</h4> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor’s or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale.</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows.</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p>VAM Systems is currently looking for AI Claude Engineer for our Bahrain operations with the following skillsets &amp; terms and conditions:</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Qualification :</strong> BE / BTech in Computer Science, Artificial Intelligence, Data Science or related field</p><p><strong>Years of Experience:</strong> 2Yr</p><p><strong>Skills</strong></p><ul><li>Strong knowledge of Generative AI and Large Language Models (LLMs).</li><li>Experience working with Claude AI / Anthropic APIs.</li><li>Strong knowledge of Prompt Engineering.</li><li>Experience in Python programming.</li><li>Knowledge of LangChain / LangGraph frameworks.</li><li>Experience with RAG (Retrieval-Augmented Generation).</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p>Manage and maintain the organization s Identity and Access Management (IAM) systems to ensure secure and seamless access for users. Implement and monitor Privilege Access Management (PAM) solutions using tools like CyberArk, Wallix, or BeyondTrust. Develop and enforce IAM policies, standards, and procedures, ensuring compliance with regulatory requirements and industry best practices. Perform periodic reviews of user access rights and privileges to maintain least privilege principles. Design and deploy automated solutions for IAM processes, including user provisioning, deprovisioning, and role-based access control (RBAC). Develop and implement automation solutions using Python, Bash, PowerShell, and Excel Automation to streamline IAM operations. Leverage UI automation tools like Power Automate to enhance user onboarding and access request workflows. Conduct regular audits and assessments of IAM configurations to identify vulnerabilities and improve security posture. Optimize and automate identity and access management for AWS, Azure, and Oracle Cloud platforms, ensuring efficient and secure operations. Integrate IAM solutions with applications, cloud platforms, and third-party systems to enhance identity governance. Monitor and respond to IAM-related incidents, troubleshooting access issues, and implementing remediation strategies. Collaborate with IT, cybersecurity, and business teams to define IAM requirements and ensure proper role alignment. Support the implementation and management of Multi-Factor Authentication (MFA) and Single Sign-On (SSO) solutions. Stay current with IAM trends, tools, and technologies, providing recommendations for continuous improvement. Prepare detailed reports on IAM metrics, compliance status, and project progress for management review.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Skills &amp; Technologies Required</strong><br>Identity and Access Management Systems using tools such as Okta, SailPoint, Ping Identity, Microsoft Entra.<br>Privilege Access Management (PAM) using tools such as CyberArk, Wallix, BeyondTrust.<br>Directory Services expertise with Active Directory, Azure AD, and LDAP.<br>Access Control using methods like Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC).<br>Authentication and Authorization using solutions like MFA, SSO, and federated identity protocols (OAuth, SAML, OpenID Connect).<br>Cloud Security integration for IAM with platforms such as AWS, Azure, and Oracle Cloud, including automation and optimization.<br>Automation Scripting: Python, PowerShell, Bash, and Excel Automation.<br>UI Automation: Power Automate for streamlining workflows and user processes.<br>IAM Monitoring and Reporting using tools such as Splunk or Microsoft Sentinel for audit and compliance tracking.</p><p><strong>Qualifications</strong><br>Bachelor s degree in computer science, information technology, cybersecurity, or a related field (master s degree preferred).</p><p><strong>Experience</strong><br>A minimum of 3 5 years of experience in IAM or related cybersecurity roles.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models.<br> You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code.<br> Your work is what makes the training signal trustworthy.<br> To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br> What you'll do Write original algorithmic problems — clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits.<br> What we look for Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).<br> Levels (by Codeforces rating, or equivalent olympiad achievement): Associate — 1700–2100 (Expert / Candidate Master): easier problems; Expert — 2200–2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.<br> Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks.<br> Because payment is per task, a faster pace raises your effective hourly rate.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>We are</strong>&nbsp;currently looking for <strong>Business Intelligence Engineer &nbsp;</strong>for our<strong> Bahrain </strong>operations with the following skillsets and terms &amp; conditions:</p><br><p><strong>Education:</strong></p><br><ul><li>Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master’s degree is preferred.</li></ul><p><strong>Professional Experience:</strong></p><br><p>Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.</p><br><p><strong>Certifications:</strong></p><br><ul><li>Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.</li></ul><p><strong>Technical Proficiency:</strong></p><br><ul><li>Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab.</li><li>Strong command of SQL for querying, data modeling, and ETL development.</li><li>Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.</li><li>Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.</li><li>Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.</li></ul><p><strong>Analytical &amp; Modeling Skills:</strong></p><br><ul><li>Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.</li><li>Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.</li><li>Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.</li></ul><p><strong>Business Acumen:</strong></p><br><ul><li>Demonstrated capability to translate business objectives into analytical use cases and recommend optimal statistical approaches.</li><li>Experience in managing BI and analytics projects and collaborating with cross-functional teams.</li></ul><p><strong>Key Responsibilities</strong></p><br><ul><li>Participate in defining and maintaining the Treasury analytics and reporting roadmap, aligned with business priorities and strategy</li><li>Establish a structured framework for data consumption, reporting, and dashboard evolution</li><li>Proactively identify opportunities to enhance analytics maturity and reporting capabilities</li><li>Collaborate with Treasury stakeholders (e.g., Trading, ALM, Investments, Risk) to gather requirements and translate them into technical specifications</li><li>Translate business needs into clear analytics use cases, KPIs, and reporting requirements</li><li>Identify high-value analytical opportunities to support decision-making</li></ul><p><strong>Detailed Breakdown</strong></p><br><p><strong>Dashboard Development &amp; Analytics Delivery (Core Focus)</strong></p><br><ul><li>Design, develop, and maintain interactive dashboards, reports, and KPI scorecards using Power BI and other BI tools</li></ul><p>Ensure solutions are:</p><br><ul><li>Dynamic and scenario-driven (what-if analysis, simulations, sensitivity analysis)</li><li>User-friendly, with drill-down and self-service capabilities</li></ul><ul><li>Build and maintain semantic data models and OLAP structures to enable scalable self-service analytics</li><li>Continuously enhance dashboards based on user feedback and evolving business needs</li><li>Ensure timely and high-quality delivery of dashboards and reporting outputs</li></ul><p><strong>Insights, Analytics &amp; Advanced Capabilities</strong></p><br><ul><li>Develop actionable insights and analytics outputs relevant to Treasury, Investments, and Financial Institutions</li><li>Provide data-driven recommendations and clearly communicate findings to both technical and non-technical audiences</li><li>Simplify complex analytics into actionable business insights for decision-making</li></ul><p><strong>Explore and implement:</strong></p><br><ul><li>Automation of reporting and insight generation</li><li>Dynamic scenario simulations</li><li>Predictive analytics and AI-driven insights, where applicable</li></ul><p><strong>Data Management &amp; Integration</strong></p><br><ul><li>Coordinate with internal teams (IT, data engineering, finance systems) to:</li><li>Extract and integrate required datasets</li><li>Ensure data availability, accessibility, and consistency</li><li>Integrate data from multiple sources (e.g., EDW, APIs, flat files) into unified models</li><li>Ensure data is structured to support efficient reporting and analytics delivery within the Treasury function</li><li>Optimize SQL queries and ETL processes for performance and scalability</li></ul><p><strong>Data Quality &amp; Governance (Treasury Scope)</strong></p><br><ul><li>Identify data gaps, inconsistencies, and limitations, and work with upstream providers to improve data quality</li><li>Ensure compliance with data governance, security, and privacy policies (within Treasury scope)</li><li>Maintain proper documentation of data sources, transformations, and reporting logic</li></ul><p><strong>Stakeholder Enablement &amp; Team Contribution</strong></p><br><ul><li>Provide training and support to business users on BI tools and data interpretation</li><li>Communicate insights effectively to senior leadership and end users</li><li>Mentor team members and contribute to best practices and reusable analytics components</li></ul><p><strong><u>Terms and conditions</u></strong></p><br><p><strong>Joining time frame: (15 - 30 days)</strong></p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Purpose Lead and manage the organization s cyber security operations, vulnerability management, cloud and infrastructure security, and security automation activities by implementing effective security controls, ensuring compliance with cyber security standards, strengthening threat detection and incident response capabilities, and embedding secure practices across technology operations to safeguard organizational systems, applications, and information assets.</p><p>Roles &amp; Responsibilities</p><ul><li>Conduct thorough security audits to identify vulnerabilities and implement actionable improvements.</li><li>Develop and enforce robust Privilege Access Management (PAM) strategies to protect sensitive resources.</li><li>Create and maintain Security Hardening Guidelines in compliance with CIS or SITG Benchmarks, ensuring secure configurations across all systems.</li><li>Design and deploy automated processes for cybersecurity tasks using Python scripting.</li><li>Manage the organization s Vulnerability Management Program, including regular scanning, assessment, remediation, and reporting.</li><li>Implement and oversee Security Automation processes to streamline threat detection, incident response, and compliance checks.</li><li>Continuously monitor security systems to detect, respond to, and resolve potential incidents promptly.</li><li>Respond to cybersecurity incidents with effective containment, resolution, and detailed after-action reporting.</li><li>Collaborate with IT, DevOps, and other teams to embed security practices into all phases of the SDLC.</li><li>Monitor and maintain security tools such as SIEM, IDS/IPS, DLP, and endpoint protection solutions.</li><li>Oversee the design, implementation, and management of security architectures for cloud-based and on-premise infrastructures.</li><li>Perform periodic reviews of firewall configurations, user access controls, and other security mechanisms to optimize protection.</li><li>Maintain the organization s cybersecurity framework and ensure alignment with industry standards and regulations.</li><li>Proactively evaluate and deploy emerging cybersecurity technologies to mitigate evolving threats.</li><li>Act as the primary contact for security incidents and collaborate with external teams for escalated support.</li><li>Provide leadership in implementing threat intelligence strategies, ensuring continuous improvement of the organization's security posture.</li></ul><p>Skills &amp; Technologies Required</p><ul><li>Threat Detection and Response using any of these tools (Microsoft Defender XDR, Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft Defender for Endpoint).</li><li>Vulnerability Management using any of these tools (Nessus, Qualys, OpenVAS).</li><li>privilege Access Management (PAM) using any of these tools (Wallix, CyberArk, BeyondTrust).</li><li>Security Automation and Orchestration using any of these tools (Python, Splunk Phantom, Cortex XSOAR, Azure Sentinel ).</li><li>DevSecOps using any of these tools (SonarQube, GitHub Actions, AWS CodePipeline).</li><li>Security Hardening and Compliance using any of these tools (CIS Benchmarks, SITG Benchmarks, Qualys Policy Compliance).</li><li>Cloud Security using any of these tools (AWS Security Hub, Azure Security Center, Microsoft Defender for Cloud).</li><li>Network Security using any of these tools (Palo Alto Networks, Fortinet, Cisco ASA, Snort, Suricata).</li><li>Endpoint Security using any of these tools (Microsoft Defender for Endpoint, CrowdStrike Falcon, SentinelOne).</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Computer Science, Information Technology, Cybersecurity, or a related field (Master s degree preferred).</li><li>Relevant certifications such as CISSP, CISM, CEH, CompTIA Security+, or equivalent.</li><li>A minimum of 6 years of experience in the related field.</li></ul><p></p></section>

<p>Lead and manage the organization s cyber security operations, vulnerability management, cloud and infrastructure security, and security automation activities by implementing effective security controls, ensuring compliance with cyber security standards, strengthening threat detection and incident response capabilities, and embedding secure practices across technology operations to safeguard organizational systems, applications, and information assets.</p><p>Conduct thorough security audits to identify vulnerabilities and implement actionable improvements.</p><p>Develop and enforce robust Privilege Access Management (PAM) strategies to protect sensitive resources.</p><p>Create and maintain Security Hardening Guidelines in compliance with CIS or SITG Benchmarks, ensuring secure configurations across all systems.</p><p>Design and deploy automated processes for cybersecurity tasks using Python scripting.</p><p>Manage the organization s Vulnerability Management Program, including regular scanning, assessment, remediation, and reporting.</p><p>Implement and oversee Security Automation processes to streamline threat detection, incident response, and compliance checks.</p><p>Continuously monitor security systems to detect, respond to, and resolve potential incidents promptly.</p><p>Respond to cybersecurity incidents with effective containment, resolution, and detailed after-action reporting.</p><p>Collaborate with IT, DevOps, and other teams to embed security practices into all phases of the SDLC.</p><p>Monitor and maintain security tools such as SIEM, IDS/IPS, DLP, and endpoint protection solutions.</p><p>Oversee the design, implementation, and management of security architectures for cloud-based and on-premise infrastructures.</p><p>Perform periodic reviews of firewall configurations, user access controls, and other security mechanisms to optimize protection.</p><p>Maintain the organization s cybersecurity framework and ensure alignment with industry standards and regulations.</p><p>Proactively evaluate and deploy emerging cybersecurity technologies to mitigate evolving threats.</p><p>Act as the primary contact for security incidents and collaborate with external teams for escalated support.</p><p>Provide leadership in implementing threat intelligence strategies, ensuring continuous improvement of the organization's security posture.</p><h2>Skills &amp; Technologies Required</h2><ul><li>Threat Detection and Response using any of these tools (Microsoft Defender XDR, Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft Defender for Endpoint).</li><li>Vulnerability Management using any of these tools (Nessus, Qualys, OpenVAS).</li><li>Privilege Access Management (PAM) using any of these tools (Wallix, CyberArk, BeyondTrust).</li><li>Security Automation and Orchestration using any of these tools (Python, Splunk Phantom, Cortex XSOAR, Azure Sentinel ).</li><li>DevSecOps using any of these tools (SonarQube, GitHub Actions, AWS CodePipeline).</li><li>Security Hardening and Compliance using any of these tools (CIS Benchmarks, SITG Benchmarks, Qualys Policy Compliance).</li><li>Cloud Security using any of these tools (AWS Security Hub, Azure Security Center, Microsoft Defender for Cloud).</li><li>Network Security using any of these tools (Palo Alto Networks, Fortinet, Cisco ASA, Snort, Suricata).</li><li>Endpoint Security using any of these tools (Microsoft Defender for Endpoint, CrowdStrike Falcon, SentinelOne).</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications</h2><p>Bachelor s degree in Computer Science, Information Technology, Cybersecurity, or a related field (Master s degree preferred).</p><p>Relevant certifications such as CISSP, CISM, CEH, CompTIA Security+, or equivalent.</p><h2>Experience</h2><p>A minimum of 6 years of experience in the related field.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>VAM Systems </strong>is currently looking for <strong>Data Engineer (Offshore) </strong>for our<strong> Bahrain </strong>operations with the following skillsets and terms &amp; conditions:</p><br><p><strong>Years of Experience 7 - 10 years</strong></p><br><p><strong>Qualification: </strong>Bachelor's Degree, Computer Science, BE Computer Science and Engineering</p><br><p><strong>Tools Required</strong>: Data Engineering on Cloud, Big Data Architecture, AI/ML Data Pipelines</p><br><p><strong>Professional Certifications Required</strong>: Google Cloud Certified – Professional Data Engineer or equivalent</p><br><p><strong>Experience Required:</strong></p><br><ul><li>Ability to design and build scalable data pipelines</li><li>knowledge of data modeling and warehousing concepts</li><li>Familiarity with big data tools (e.g., Spark, Hadoop)</li><li>Experience with cloud platforms (e.g., Azure, AWS, GCP)</li><li>Ability to work with structured and unstructured data</li><li>Understanding of data governance and security</li><li>Ability to support AI/ML model deployment and data preparation</li><li>Proficiency in SQL, Python, and data orchestration tools</li></ul><p><strong>Job Responsibility:</strong></p><br><ul><li>Design and implement scalable data pipelines to support AI banking initiatives</li><li>Collaborate with data scientists to prepare and transform data for model training</li><li>Develop and maintain data lake and data warehouse solutions</li><li>Ensure data quality, integrity, and security across platforms</li><li>Integrate data from core banking systems, digital channels, and external sources</li><li>Optimize data workflows for performance and cost efficiency</li><li>Support real-time and batch data processing using modern data frameworks</li><li>Implement data governance policies and metadata management</li><li>Data Pipeline Development</li><li>Big Data Technologies</li><li>Cloud Data Engineering</li><li>SQL and Python</li><li>Data Modeling &amp; Warehousing</li><li>AI/ML Data Preparation</li><li>Data Governance &amp; Security</li><li>Agile &amp; DevOps Collaboration</li></ul><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Purpose Lead and manage the organization s cyber security operations, vulnerability management, cloud and infrastructure security, and security automation activities by implementing effective security controls, ensuring compliance with cyber security standards, strengthening threat detection and incident response capabilities, and embedding secure practices across technology operations to safeguard organizational systems, applications, and information assets.</p><p>Roles &amp; Responsibilities</p><ul><li>Conduct thorough security audits to identify vulnerabilities and implement actionable improvements.</li><li>Develop and enforce robust Privilege Access Management (PAM) strategies to protect sensitive resources.</li><li>Create and maintain Security Hardening Guidelines in compliance with CIS or SITG Benchmarks, ensuring secure configurations across all systems.</li><li>Design and deploy automated processes for cybersecurity tasks using Python scripting.</li><li>Manage the organization s Vulnerability Management Program, including regular scanning, assessment, remediation, and reporting.</li><li>Implement and oversee Security Automation processes to streamline threat detection, incident response, and compliance checks.</li><li>Continuously monitor security systems to detect, respond to, and resolve potential incidents promptly.</li><li>Respond to cybersecurity incidents with effective containment, resolution, and detailed after-action reporting.</li><li>Collaborate with IT, DevOps, and other teams to embed security practices into all phases of the SDLC.</li><li>Monitor and maintain security tools such as SIEM, IDS/IPS, DLP, and endpoint protection solutions.</li><li>Oversee the design, implementation, and management of security architectures for cloud-based and on-premise infrastructures.</li><li>Perform periodic reviews of firewall configurations, user access controls, and other security mechanisms to optimize protection.</li><li>Maintain the organization s cybersecurity framework and ensure alignment with industry standards and regulations.</li><li>Proactively evaluate and deploy emerging cybersecurity technologies to mitigate evolving threats.</li><li>Act as the primary contact for security incidents and collaborate with external teams for escalated support.</li><li>Provide leadership in implementing threat intelligence strategies, ensuring continuous improvement of the organization's security posture.</li></ul><p>Skills &amp; Technologies Required</p><ul><li>Threat Detection and Response using any of these tools (Microsoft Defender XDR, Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft Defender for Endpoint).</li><li>Vulnerability Management using any of these tools (Nessus, Qualys, OpenVAS).</li><li>privilege Access Management (PAM) using any of these tools (Wallix, CyberArk, BeyondTrust).</li><li>Security Automation and Orchestration using any of these tools (Python, Splunk Phantom, Cortex XSOAR, Azure Sentinel ).</li><li>DevSecOps using any of these tools (SonarQube, GitHub Actions, AWS CodePipeline).</li><li>Security Hardening and Compliance using any of these tools (CIS Benchmarks, SITG Benchmarks, Qualys Policy Compliance).</li><li>Cloud Security using any of these tools (AWS Security Hub, Azure Security Center, Microsoft Defender for Cloud).</li><li>Network Security using any of these tools (Palo Alto Networks, Fortinet, Cisco ASA, Snort, Suricata).</li><li>Endpoint Security using any of these tools (Microsoft Defender for Endpoint, CrowdStrike Falcon, SentinelOne).</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Computer Science, Information Technology, Cybersecurity, or a related field (Master s degree preferred).</li><li>Relevant certifications such as CISSP, CISM, CEH, CompTIA Security+, or equivalent.</li><li>A minimum of 6 years of experience in the related field.</li></ul><p></p></section>