Plumbing Engineer

<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"> 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>Location: Bahrain (Onsite) Duration: 4 months, extendable based on performance Start Date: ASAP Seniority: 15+ years of experience We are urgently seeking a highly experienced Senior Reservoir Simulation Engineer with strong expertise in gas reservoirs to support ongoing field development and reservoir management activities. The ideal candidate will bring at least 15 years of hands-on experience in simulation, modeling, and performance optimization for gas fields, with a proven track record using Petrel, ECLIPSE, and INTERSECT (FRONTSIM is a plus) . The role requires onsite delivery in Bahrain and the ability to drive results in a fast-paced environment.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>A senior Reservoir Simulation Engineer:</h2><ul><li>Is a fully qualified professional Reservoir Engineer, with a minimum of Bachelor degree in Petroleum Engineering, but preferably Master and above</li><li>Is a professional that can demonstrate in excess of a minimum of 15 years of activity in reservoir Simulation and modeling</li><li>Can demonstrate a variety of technical assignments requiring familiarity with a broad field of reservoir Engineering and knowledge of other domains: Petrophysics, Geophysics and modeling</li><li>Can demonstrate an intimate knowledge of the subsurface analysis PVT analysis, SCAL modeling and Historical production interpretation.</li><li>Typical activities involve: Fundamental reservoir engineering analysis including material Balance, DCA and Well forecasting. PVT analysis for both Black oil and composition simulation including EoS matching. Relative permeability modeling, normalization and end point scaling Capillary pressure modeling including hysteresis History matching using experimental design and AI concept Basic EOR experience with strong simulation capabilities.</li><li>He/she participates in and works on reservoir studies for clients with the objective of creating history matching models that are suitable for prospect evaluation, dynamic fluid flow simulation and/or well placement planning.</li><li>He/she works in a team environment with petrophysicists, geophysicists and Modeler. Reservoir simulation engineer is the pivot between these disciplines who integrates the Geophysical, Petrophysical and Modelling.</li><li>The Reservoir Simulation Engineer: Applies broad knowledge and brings experience to identify problems. Balances priorities and interfaces with internal/external customers to ensure expectations are met within the confines of policies, technical and professional limits. Makes independent studies, analyses, interpretations and conclusions. Difficult, complex or unusual matters or decisions are usually referred to a more senior authority. Keeps others informed of actions and reasons behind them.</li></ul><h2>Requirements</h2><h3>Software skills</h3><ul><li>Has a proven record of working with Petrel, ECLIPSE and INTERSECT. FRONTSIM is a plus</li><li>knows the Petrel Reservoir Engineering software: Uncertainty analysis and Optimization History Matching Analysis Petrel Upscaling</li></ul><h3>Previous Experience and Competencies:</h3><ul><li>Education: Bachelor s Degree, master s degree or other higher Degree in Petroleum / chemical engineering or Pure or Applied math. Preferred: MSc in Petroleum Engineering (areas of specialization included PVT analysis, SCAl modeling, History matching and EOR)</li><li>Experience: BS with minimum 10 years of related experience MS with minimum 7 years of related experience PhD with minimum of 5 years of related experience</li><li>Skills and computer literacy: Problem Solving Intermediate to Advanced skill in project estimation Can handle projects of medium-high complexity Creative and innovative in providing quality solutions, advanced skills in analysis and design of solutions Expert skill in techniques, tools, processes and practices within area of expertise Advanced Decision Making: Involved in developing, modifying and executing company policies. Basic Leadership skills Contributes to the team/area to optimum performance levels through leadership abilities Establishes goals in order to meet objectives.</li><li>Communication skills: Excellent presentation skills Very good command of the English language, both written and oral. Advanced oral and written communication skills: Frequently interacts with peer groups, Good relation: Interaction normally involves the ability to gain confidence, persuade and give complex presentations of information concerning specific projects/schedules etc Customer oriented: actively communicates with internal and/or external customers to ensure service level exceeds expectations.</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 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>An International Consultant is currently seeking a Senior Highways Design Engineer to be based in Bahrain.</p><p>The position is design level and will be for a contract duration of 1-2 years, with a possible long term career being on offer.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Geopak and MX design package experience</li><li>Strong experience with highway design and capable of providing sound judgement on best practice</li><li>Self-propelled and able to compile a design report based on input</li><li>Client facing and able to maintain budget control</li><li>Able to function well in a team</li><li>Well organised and good co-ordination skills</li><li>IT literate</li><li>A hands-on attitude</li><li>Perfect written and spoken English</li><li>French language skills would be an advantage</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 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"> <p><span>We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.&nbsp;</span></p><br><p>As a Software Engineer III-Automation Test at JPMorgan Chase within the Commercial and Investment bank for payments technology business, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.</p><br><p><strong>Job responsibilities</strong></p><br><ul><li>Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems</li><li>Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li><p><span>Automation Using Cucumber, Cypress, Selenium, Playwright</span></p><br></li><li><p><span>Ability to customize BDD/Selenium in various integrations</span></p><br></li><li><p><span>Knowledge and ability to design, build maintain test automation framework</span></p><br></li><li><p><span>Automation test cases and feature file creation</span></p><br></li><li>Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.</li><li>Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li></ul><p><strong>Required qualifications, capabilities, and skills</strong></p><br><ul><li>Formal training or certification in software engineering concepts and <strong>6+ years</strong> of applied experience.</li><li>Experience working in Agile delivery environments and understanding of the Software Development Life Cycle (SDLC).</li><li>Functional testing experience, including test preparation, test design, execution, and results reporting.</li><li>Experience partnering with QA (manual and automation), developers, and subject matter experts (SMEs) to understand the business domain, requirements, and system functionality.</li><li>Experience designing, developing, maintaining, executing, and reporting automated test suites using <strong>Cucumber, Cypress, Selenium, and Playwright</strong>, including tracking and communicating automation status and quality metrics.</li><li>Experience with defect lifecycle management, including defect logging, verification/re-testing, and tracking through closure in collaboration with engineering teams.</li><li>Hands-on experience across system design, application development, testing, and operational stability concepts.</li><li>Experience developing, debugging, and maintaining code in a large-scale enterprise environment using one or more modern programming languages.</li><li>Experience with <strong>Oracle/RDBMS</strong> to support testing and troubleshooting, with a solid understanding of <strong>CI/CD</strong>, application resiliency, and security considerations, and strong interpersonal skills to collaborate across teams and support timely problem resolution.</li></ul><p><strong>Preferred qualifications, capabilities, and skills</strong></p><br><ul><li>Experience within Trade Domain</li></ul><br>J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br> &nbsp;&nbsp; We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our&nbsp;FAQs&nbsp;for more information about requesting an accommodation. <br><br> </div>