Python Developer Jobs in Bahrain

<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>

<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> <p>A link to GitHub is a plus.</p> <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>

<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 a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<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 20-25 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 On this project, contributors can earn up to $75 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 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>

<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>

<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>Job Description VAM Systems is currently looking for Power BI Engineer (Offshore) for our Bahrain operations with the following skillsets and terms &amp; conditions:</p><p><strong>Key Responsibilities</strong></p><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><p><strong>Dashboard Development &amp; Analytics Delivery (Core Focus)</strong></p><ul><li>Design, develop, and maintain interactive dashboards, reports, and KPI scorecards using Power BI and other BI tools</li><li>Ensure solutions are:</li><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><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><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><li>Explore and implement:</li><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></ul><p><strong>Data Management &amp; Integration</strong></p><ul><li>Coordinate with internal teams (IT, data engineering, finance systems) to:</li><ul><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></ul><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><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><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>LANGUAGES: English Arabic</p><p>Terms and conditions Joining time frame: (15 - 30 days) .</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Education: Bachelor s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master s degree is preferred.</li><li>Professional Experience: Minimum of 5 8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.</li><li>Certifications: Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.</li><li>Technical Proficiency: Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab. Strong command of SQL for querying, data modeling, and ETL development. Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server. Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage. Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.</li><li>Analytical &amp; Modeling Skills: Proven ability to work with large-scale datasets and deliver production-grade analytics solutions. Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables. Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.</li><li>Business Acumen: Demonstrated capability to translate business objectives into analytical use cases and recommend optimal statistical approaches. Experience in managing BI and analytics projects and collaborating with cross-functional teams.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span >About the Role</span></p><p>As a Supply Chain Automation Fellow , you'll join our AI &amp; Automation Track , where you'll help transform how one of the most critical parts of Calo operates. Our Supply Chain team manages everything behind the scenes, from forecasting and inventory to purchasing and operations. As Calo grows, so does the need to eliminate manual work, improve visibility, and build smarter systems that allow our teams to focus on high-impact decisions. Your mission is to identify repetitive processes, understand how our supply chain works, and build AI-powered solutions that improve speed, accuracy, and efficiency. Whether it's automating inventory counting, streamlining ordering workflows, or creating tools that save teams hours of manual work every week, you'll build solutions that become part of how Calo operates. This isn't about maintaining existing processes. It's about reimagining them.</p><p>What you'll be working on</p><ul><li>Identify manual and repetitive processes that can be improved through AI and automation.</li><li>Design and build practical solutions that simplify day-to-day supply chain operations.</li><li>Develop automation tools for inventory management, purchasing workflows, reporting, and operational planning.</li><li>Collaborate with Supply Chain stakeholders to understand pain points and translate them into scalable solutions.</li><li>Test, improve, and continuously iterate on the systems you build.</li><li>Present your work, insights, and outcomes throughout the Fellowship.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>We're not looking for years of experience. We're looking for builders. You'll likely be a great fit if you:</li><li>Recently graduated from high school or university.</li><li>Have little or no professional experience but are excited to learn.</li><li>Enjoy solving problems and finding smarter ways of working.</li><li>Are curious about AI, automation, and emerging technologies.</li><li>Like breaking down complex challenges into practical solutions.</li><li>Learn quickly and enjoy experimenting with new tools.</li><li>Take ownership instead of waiting for instructions.</li><li>Communicate well and enjoy collaborating with different teams.</li><li>Care about quality and continuous improvement.</li><li>Experience with tools such as ChatGPT, Claude, Gemini, Python, Google Sheets, Notion, SQL, or automation platforms is a plus, but absolutely not required.</li></ul><p>The kind of person who thrives at Calo</p><p>At Calo, we hire for mindset first. Our Fellows are people who:</p><ul><li>Stay curious.</li><li>Learn fast.</li><li>Take ownership.</li><li>Care deeply about the quality of their work.</li><li>Solve problems instead of waiting for someone else to.</li><li>Are comfortable with change and enjoy moving quickly.</li><li>Support the people around them and celebrate team success.</li><li>Show humility, resilience, and a genuine desire to grow.</li></ul><p>If that sounds like you, we'd love to meet you.</p><p>Who can apply?</p><p>We're looking for exceptional people, wherever they are. We welcome applications from:</p><ul><li>Recent high school graduates.</li><li>Recent university graduates.</li><li>Candidates with little to no professional experience.</li><li>Applicants based in Bahrain, Saudi Arabia, the UAE, Qatar, Kuwait, or Oman, where the Fellowship can be completed in a hybrid setup.</li><li>Exceptional candidates from anywhere else in the world who are excited to join us remotely.</li><li>English speakers, Arabic speakers, or bilingual candidates. You're welcome to apply in whichever language you're most comfortable using.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Quality Automation Fellow , you'll join our AI &amp; Automation Track , where you'll help shape the future of how quality is managed across Calo. Quality is at the heart of everything we do. As we continue to grow, we want to move beyond manual processes and build intelligent systems that help us identify issues faster, improve consistency, and raise the bar across our operations. In this role, you'll work alongside our Quality team to identify repetitive tasks, explore opportunities for automation, and build AI-powered solutions that make a real difference. One of your biggest opportunities will be helping us build a network of AI agents that monitor operations across our kitchens, surface insights in real time, and allow our teams to focus on solving problems instead of searching for them. If you enjoy technology, love solving problems, and get excited about building things that people actually use, you'll feel right at home.</p><p>What you'll be working on</p><ul><li>Identify repetitive quality processes that can be improved through AI and automation.</li><li>Design and build practical solutions that make our operations smarter, faster, and more reliable.</li><li>Develop dashboards, workflows, and AI-powered tools used by the Quality team.</li><li>Work closely with stakeholders to understand operational challenges and turn them into scalable solutions.</li><li>Experiment with new technologies, test ideas, and continuously improve what you build.</li><li>Share your progress, present your work, and contribute to the future of Quality at Calo.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>What we're looking for</h2><p>We're not looking for years of experience. We're looking for builders. You'll likely be a great fit if you:</p><ul><li>Recently graduated from high school or university.</li><li>Have little or no professional experience but are excited to learn.</li><li>Love technology and are curious about AI and automation.</li><li>Enjoy solving problems and thinking creatively.</li><li>Learn quickly and aren't afraid to explore unfamiliar tools.</li><li>Take ownership and enjoy figuring things out independently.</li><li>Care about quality and pay attention to the details.</li><li>Communicate well and enjoy collaborating with different people.</li><li>Are resilient, humble, and open to feedback.</li></ul><p>Experience with tools such as ChatGPT, Claude, Gemini, Python, Google Sheets, Notion, or automation platforms is a plus, but absolutely not required.</p><p>The kind of person who thrives at Calo</p><p>At Calo, we hire for mindset first. Our Fellows are people who:</p><ul><li>Stay curious.</li><li>Learn fast.</li><li>Take ownership.</li><li>Care deeply about the quality of their work.</li><li>Solve problems instead of waiting for someone else to.</li><li>Are comfortable with change and enjoy moving quickly.</li><li>Support the people around them and celebrate team success.</li><li>Show humility, resilience, and a genuine desire to grow.</li></ul><p>If that sounds like you, we'd love to meet you.</p><h2>Who can apply?</h2><p>We're looking for exceptional people, wherever they are. We welcome applications from:</p><ul><li>Recent high school graduates.</li><li>Recent university graduates.</li><li>Candidates with little to no professional experience.</li><li>Applicants based in Bahrain, Saudi Arabia, the UAE, Qatar, Kuwait, or Oman, where the Fellowship can be completed in a hybrid setup.</li><li>Exceptional candidates from anywhere else in the world who are excited to join us remotely.</li><li>English speakers, Arabic speakers, or bilingual candidates. You're welcome to apply in whichever language you're most comfortable using.</li></ul><h2>How to apply</h2><p>Your application is more than a CV, we'd love to get to know you. Along with your resume, we'd encourage you to include something that helps your personality shine. This could be:</p><ul><li>A short video (1 2 minutes) introducing yourself and telling us why you're excited about the Fellowship.</li><li>A project you've built, a challenge you've solved, or something you're proud of creating.</li><li>A portfolio, GitHub profile, personal website, or anything else that showcases your curiosity and initiative.</li></ul><p>Don't worry about having the "perfect" application. We're not looking for the most experienced candidate, we're looking for people with the curiosity to learn, the courage to take ownership, and the ambition to build something meaningful.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Are you passionate about web development and eager to start your software engineering career? We are looking for <b>a </b><strong>Junior Software Engineer</strong> to join our growing team in Bahrain.</p> Requirements<br><p> Basic knowledge of <strong>WordPress Development</strong> (Mandatory)<br> Understanding of <strong>HTML, CSS, JavaScript, and PHP</strong> <br> Familiarity with <strong>Git/GitHub</strong> version control<br> Good problem-solving and learning skills<br> Fresh graduates and entry-level candidates are encouraged to apply</p> Added Advantages<br><p> Knowledge of <strong>Python</strong> <br> Experience with <strong>Laravel Framework</strong> <br> Understanding of REST APIs and database concepts (MySQL)<br> Exposure to AI tools and automation technologies</p> Responsibilities<br><ul> <li>Develop and maintain WordPress websites</li> <li>Customize themes and plugins</li> <li>Work with Git repositories and collaborate with the development team</li> <li>Assist in Laravel and Python-based projects</li> <li>Debug, test, and optimize web applications</li> <li>Learn and adapt to new technologies and frameworks</li> </ul><br></div></section>

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

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Experience in Banking, Financial Services, or FinTech industry preferred.</p> <p>Required Skills</p> <p>Strong experience in AML transaction monitoring and fraud detection.</p> <p>Hands-on experience with SQL, Python, and data analytics.</p> <p>Experience in regulatory compliance and risk management frameworks.</p> <p>Knowledge of AML/KYC, OFAC screening, and transaction monitoring systems.</p> <p>Experience in threshold optimization, alert generation, and false positive reduction.</p> <p>Familiarity with machine learning models such as XGBoost, clustering, and predictive analytics.</p> <p>Experience in model validation, sensitivity analysis, and statistical testing.</p> <p>Strong understanding of risk scoring and compliance reporting.</p> <p>Experience with BigQuery, Hive, Impala, Excel, and reporting tools.</p> <p>Knowledge of NLP-based fuzzy matching and anomaly detection techniques is an added advantage.</p> <p>Strong analytical, communication, and documentation skills.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b>Qualifications</b></p> <p>Bachelor s or Master s Degree in Computer Science, Information Technology, Finance, Economics, Risk Management, or related field.</p> <p>Experience</p> <p>3+ years of experience in AML, Fraud Detection, Risk Analytics, or Regulatory Technology domain.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>We are currently looking for AML/ Risk Management Specialist for our Bahrain operations with the following skillsets and terms &amp; conditions.</p><br><p>Qualifications</p><br><p>Bachelor’s or Master’s Degree in Computer Science, Information Technology, Finance, Economics, Risk Management, or related field.</p><br><p>Experience</p><br><p>3+ years of experience in AML, Fraud Detection, Risk Analytics, or Regulatory Technology domain.</p><br><p>Experience in Banking, Financial Services, or FinTech industry preferred.</p><br><p>Required Skills</p><br><p>Strong experience in AML transaction monitoring and fraud detection.</p><br><p>Hands-on experience with SQL, Python, and data analytics.</p><br><p>Experience in regulatory compliance and risk management frameworks.</p><br><p>Knowledge of AML/KYC, OFAC screening, and transaction monitoring systems.</p><br><p>Experience in threshold optimization, alert generation, and false positive reduction.</p><br><p>Familiarity with machine learning models such as XGBoost, clustering, and predictive analytics.</p><br><p>Experience in model validation, sensitivity analysis, and statistical testing.</p><br><p>Strong understanding of risk scoring and compliance reporting.</p><br><p>Experience with BigQuery, Hive, Impala, Excel, and reporting tools.</p><br><p>Knowledge of NLP-based fuzzy matching and anomaly detection techniques is an added advantage.</p><br><p>Strong analytical, communication, and documentation skills.</p><br><br><br> </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>

<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>