Database Developer Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> General Information <br> <br> Ref # <br> 234942 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Corporate &amp; Commercial <br> <br> <ul><li><span>Closing Date:</span> <span>2026-07-29</span></li></ul><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled 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> About the Role This is a freelance role for a Tendem project.<br> As a 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> 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> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year 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> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>We are&nbsp;</strong>currently looking<strong> Data &amp; AI Project Lead for our </strong>Qatar operations</p><br><p><strong>Required Skills and Experience</strong></p><br><ul><li>Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.</li><li>Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.</li><li>Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.</li><li>Hands-on expertise in Agile project management, JIRA, and collaboration tools.</li><li>Strong communication, leadership, and vendor management skills.</li><li>GCC and/or Qatar banking experience is highly desirable.</li></ul><p><strong>Key Responsibilities</strong></p><br><ul><li>End-to-end ownership of project delivery, including planning, execution, governance, and closure.</li><li>Manage and engage multiple stakeholders across business units, IT teams, and external partners.</li><li>Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.</li><li>Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.</li><li>Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.</li><li>Monitor project dependencies, risks, issues, and escalations across multiple workstreams.</li><li>Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.</li></ul><p><strong>Joining time frame:</strong> 2 weeks (maximum 1 month)</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&nbsp;</strong>currently looking<strong> Data &amp; AI Project Lead for our </strong>Qatar operations</p><br><p><strong>Required Skills and Experience</strong></p><br><ul><li>Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.</li><li>Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.</li><li>Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.</li><li>Hands-on expertise in Agile project management, JIRA, and collaboration tools.</li><li>Strong communication, leadership, and vendor management skills.</li><li>GCC and/or Qatar banking experience is highly desirable.</li></ul><p><strong>Key Responsibilities</strong></p><br><ul><li>End-to-end ownership of project delivery, including planning, execution, governance, and closure.</li><li>Manage and engage multiple stakeholders across business units, IT teams, and external partners.</li><li>Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.</li><li>Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.</li><li>Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.</li><li>Monitor project dependencies, risks, issues, and escalations across multiple workstreams.</li><li>Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.</li></ul><p><strong>Joining time frame:</strong> 2 weeks (maximum 1 month)</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>We are currently looking Data &amp; AI Project Lead for our Qatar operations</p><br><p>Required Skills and Experience</p><br><p>• Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.</p><br><p>• Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.</p><br><p>• Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.</p><br><p>• Hands-on expertise in Agile project management, JIRA, and collaboration tools.</p><br><p>• Strong communication, leadership, and vendor management skills.</p><br><p>• GCC and/or Qatar banking experience is highly desirable.</p><br><p>Key Responsibilities</p><br><p>• End-to-end ownership of project delivery, including planning, execution, governance, and closure.</p><br><p>• Manage and engage multiple stakeholders across business units, IT teams, and external partners.</p><br><p>• Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.</p><br><p>• Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.</p><br><p>• Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.</p><br><p>• Monitor project dependencies, risks, issues, and escalations across multiple workstreams.</p><br><p>• Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.</p><br><p>Joining time frame: 2 weeks (maximum 1 month)</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview</b><br><p>As a Microsoft Data Center Technician (DCT), you will stage, set up and perform hardware deployments. In addition, you will also perform troubleshooting and diagnostics on equipment, as well as perform hardware decommissions for simple changes and refreshes following Standard Operating Procedures. This opportunity will allow you to deepen your understanding of Data Center standard processes and procedures, develop mentoring skills while providing guidance to peers, familiarizing yourself with security and data management procedures, and accelerate your career growth in the process.</p><br><p>Microsoft’s Cloud Operations &amp; Innovation (CO+I) is the engine that powers our cloud services. As a CO+I DCT, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform. As a group, CO+I is focused on the personal and professional development of all employees and offers training and growth opportunities including Career Rotation Programs, Diversity &amp; Inclusion training and events, and professional certifications.</p><br><p>Our infrastructure is comprised of a large global portfolio of more than 200 Data Centers in 32 countries and millions of servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide.</p><br><p>With environmental sustainability and optimization at the forefront of our data center design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.</p><br><p>Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.&nbsp;</p><br><br><b>Responsibilities</b><br><ul><li>Performs diagnostics and troubleshooting following standard procedures, quickly identifies the cause(s) of issues, and replaces faulty components with minimal customer and business disruption.</li><li>Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs).</li><li>Decommissions hardware for simple changes and refreshes (e.g., memory upgrades, rebuilds) following standard procedures with minimal guidance.</li><li>Follows procedures to communicate, report, and escalate incidents to appropriate Microsoft data center operations management units, Technician Leads, and engineering specialists.</li><li>Assists and provides guidance to other technicians to complete challenging or complex tasks.</li><li>Completes required training aligned to the role and workload; observes more experienced technicians to gain hands-on experience and relevant on-the-job training</li><li>Contributes to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others' work</li><li>Has pride and a sense of accountability for the service quality, completeness, and resulting user experience; displays accountability and ownership of the data center facilities.</li><li>Embodies our&nbsp;culture&nbsp;and&nbsp;values.</li></ul><br><b>Qualifications</b><br><ul><li>High school diploma, or equivalent and basic knowledge of computer hardware and components AND experience supporting IT equipment or related technology.</li></ul><p><strong>Background Check Requirements:&nbsp;</strong></p><br><p>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:&nbsp;</p><br><ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p>While not required, we also look for the following<strong><em>Preferred Qualifications:</em></strong></p><br><ul><li>Experience supporting IT equipment or related technology.</li><li>Applicable certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).</li></ul> <br><p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><br><br><br><p>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about <b><u>requesting accommodations.</u></b></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Hiring: Analytics Applications Specialist </strong><br> <strong>Location:</strong> Doha, Qatar<br> <strong>Contract Type:</strong> Long-Term Contract<br> <strong>Work Schedule:</strong> 100% Onshore<br> <strong>Rotation:</strong> 12 Weeks ON / 2 Weeks OFF<br> <strong>Working Days:</strong> 6 Days per Week<br> <strong>Hours:</strong> 8–10 Hours per Day<br> <strong>Job Overview</strong><br> We are seeking an experienced <strong>Analytics Applications Specialist</strong> to lead the development, implementation, and support of analytics applications, dashboards, reports, data warehouses, and Power Platform solutions for major projects within the Oil &amp; Gas sector.<br> The successful candidate will be responsible for transforming raw data into actionable insights, developing ETL processes, managing enterprise data solutions, and delivering advanced Power BI, Power Apps, and Power Automate solutions.<br> <strong>Key Responsibilities</strong><br> ✅ Design and manage databases, data warehouses, and ETL processes.<br> ✅ Develop interactive Power BI dashboards and reports.<br> ✅ Build and optimize data models, DAX measures, and Power Query solutions.<br> ✅ Develop and maintain Power Apps (Canvas, Model-Driven &amp; Power Pages).<br> ✅ Create advanced Power Automate workflows and business process flows.<br> ✅ Develop custom API connectors and integrate third-party systems.<br> ✅ Manage Application Lifecycle Management (ALM) and environment governance.<br> ✅ Ensure data quality, security, integrity, and performance optimization.<br> ✅ Support reporting automation and analytics initiatives across projects.<br> <strong>Requirements</strong><br> ✔ Bachelor's Degree in Computer Science, IT, Data Science, Engineering, Business, or related field.<br> ✔ Minimum <strong>8 years of experience</strong> in analytics, reporting, or business systems.<br> ✔ Minimum <strong>4 years of experience in Oil &amp; Gas industry</strong>.<br> ✔ Minimum <strong>3 years of hands-on Power Platform development experience</strong>.<br> ✔ Strong experience with:<ul><li>Power BI</li><li>Power Apps</li><li>Power Automate</li><li>MS SQL Server</li><li>DAX &amp; Power Query</li><li>ETL Tools (SSIS or similar)</li><li>SharePoint</li><li>Excel</li><li>SQL Development (5+ years)</li><li>Data Modeling &amp; Visualization</li></ul>✔ Knowledge of:<ul><li>Oracle Primavera P6</li><li>ASP.NET</li><li>HTML/CSS</li><li>SAP Analytics Cloud (SAC)</li><li>SAP BusinessObjects/WebI</li><li>SAP Data Services</li></ul><strong>Certifications (Preferred)</strong><br> Microsoft PL-300 (Power BI Data Analyst)<br> Microsoft PL-400 (Power Platform Developer)<br>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil &amp; Gas, Power &amp; Renewables, Chemicals, Construction &amp; Infrastructure, Life Sciences, Mining and&nbsp;Manufacturing&nbsp;sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients. <br><br> </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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a highly technical, execution-focused Product Delivery Lead to bridge the gap between closed sales and active customer success. In this role, you will own the critical onboarding phase, ensuring that new enterprise customers are seamlessly integrated into our SaaS platform despite having highly specific, complex data requirements. You will be the orchestrator who turns a signed contract into active, AI-driven value. By combining a deep understanding of our product portfolio with expertise in data ingestion techniques and ontology mapping, you will eliminate friction in the setup process. Your ultimate goal is to accelerate the "Time-to-Value" for our customers, ensuring they can leverage our Agentic AI tools and sustainability solutions as quickly and effortlessly as possible.</p><p>Jobs To Be Done</p><ul><li>Lead the end-to-end technical onboarding and implementation of our SaaS solutions for new enterprise customers.</li><li>Serve as the primary bridge between the customer's technical teams and our internal engineering/data teams to define and execute data ingestion strategies.</li><li>Manage complex data requirements, including leading ontology mapping exercises to ensure customer data seamlessly aligns with our AI models.</li><li>Develop, manage, and execute detailed delivery project plans, ensuring timelines, milestones, and customer expectations are consistently met.</li><li>Partner closely with the Business Developer to ensure a smooth handover from the sales cycle and align on strategic customer goals.</li><li>Create repeatable, scalable onboarding playbooks to continuously reduce friction and speed up the delivery lifecycle for future customers.</li><li>Troubleshoot early-stage data integration roadblocks, ensuring a frictionless transition into "business-as-usual" platform usage.</li></ul><p>Skills and Competencies</p><ul><li>Delivery Management : Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule.</li><li>Technical Fluency : Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers.</li><li>Product Mastery : Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data.</li><li>Client Management : Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders.</li><li>Problem Solving : A proactive, "fix-it-first" mentality when dealing with data integration bottlenecks.</li></ul><p>KPIs</p><ul><li>Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights.</li><li>Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope.</li><li>Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases.</li><li>Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience.</li><li>Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.</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 Systems, Engineering, Business Administration, or a related field.</li><li>Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued.</li><li>Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.</li><li>5+ years of experience in technical delivery, SaaS implementation, solutions architecture, or technical account management.</li><li>Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements.</li><li>Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping.</li><li>Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.</li></ul><p></p></section>

FGREALTY Dubai is expanding and looking for driven, well-connected Sales Consultants to join our growing brokerage. We specialize in off-plan and secondary market sales, with a strong focus on Qatari and GCC investors alongside a broadening international and local client base. This is a high-earning-potential role for consultants who bring energy, a network, and the discipline to work a pipeline properly, not just wait for walk-in leads. Key Responsibilities Generate and manage your own pipeline of buyer leads through outbound prospecting, referrals, social media, and assigned CRM leads Qualify buyers, understand their budget and requirements, and match them to suitable off-plan or secondary market properties Represent FGREALTY professionally at networking events, developer launches, and industry exhibitions Post market and property content on personal and company social channels to build a visible personal brand Maintain full transparency and accuracy in all client and developer dealings. Reputation is everything in this market. Requirements Valid RERA broker card, or actively completing the required qualification process and eligible to obtain one before undertaking brokerage activity Existing buyer network or client base, even if small. We prioritize consultants who are not starting from zero Prior experience in real estate, sales, banking, hospitality, or another relationship-driven field Self-motivated, comfortable with a commission-based income structure, and resilient through slow months Strong communication skills and comfort with CRM-based lead management Based in Dubai and available to start immediately Compensation Commission-based, based on experience, to be discussed Full onboarding support: structured training, CRM access, and a starter set of leads from the company database Weekly group training and ongoing accountability check-ins What We Offer Direct access to FGREALTY’s Qatar and GCC client network and developer relationships Real infrastructure and training, not a “SIM card and good luck” setup A full back-end CRM built by agents, for agents, designed around how brokers actually work day to day: lead tracking, pipeline stages, follow-up reminders, and deal documentation Access to FGREALTY’s proprietary, tech-advanced property portal, fgrealty.ae and fgrealty.qa, the same platform powering our Qatar and UAE operations

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Role Purpose-</strong></p><p>Design end-to-end AI solutions with a focus on creating business cases tailored for the sports, sport performance, education and medical industries. Consider machine learning, natural language processing, and data analytics to craft systems that optimize AI integration and functionality, specifically addressing sport-specific applications. </p><p><strong><br>Responsibilities-</strong></p><p>"AI Solution Architecture &amp; Delivery:</p><ul><li><p>Design and implement scalable AI architectures using cloud-native platforms (Azure AI Foundry, Google Agent Space).</p></li><li><p>Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.</p></li><li><p>Align AI solutions with organizational priorities in sports, healthcare, and education.</p></li></ul><br><p>Enterprise System &amp; Data Integration:</p><ul><li><p>Integrate cloud AI services with ERP, CRM, medical, and sports performance platforms.</p></li><li><p>Enable connectivity between structured (databases, KPIs) and unstructured (documents, video, medical records) data sources.</p></li><li><p>Apply APIs, middleware, and automation tools to streamline data flows and pipelines.</p></li></ul><br><p>AI Governance &amp; Risk Management:</p><ul><li><p>Ensure compliance with GDPR, HIPAA, and local data regulations.</p></li><li><p>Monitor AI systems for bias, transparency, and explainability.</p></li><li><p>Apply security and governance best practices in AI deployment.</p></li></ul><br><p>Applied AI Enablement:</p><ul><li><p>Deploy and customize existing AI models for real-world use cases.</p></li><li><p>Configure conversational AI, knowledge agents, and analytics tools to support operations.</p></li><li><p>Evaluate updates from cloud AI providers and implement improvements.</p></li></ul><br><p>Stakeholder &amp; Client Management:</p><ul><li><p>Partner with internal stakeholders to identify opportunities for applied AI adoption.</p></li><li><p>Demonstrate practical AI solutions with measurable business value.</p></li><li><p>Act as a trusted advisor for AI-enabled transformation</p></li></ul><br><p>Performance &amp; Scalability:</p><ul><li><p>Optimize applied AI systems for speed, scalability, and reliability.</p></li><li><p>Implement monitoring and continuous improvement mechanisms.</p></li><li><p>Define KPIs and track ROI of AI deployments"</p></li></ul><p><br></p><p><strong>Qualification-</strong></p><p>"8+ years of experience in Solution Architecture with minimum of 4 years of experience in applied AI/ML projects.</p><p>Bilingual (Arabic Speaker) Mandatory</p><br><p>Education:</p><p>Bachelor's Degree in Computer Science</p><p>Or Artificial Intelligence, Data Science</p><p>Or Bachelors Degree in IT</p><p>Or Bachelors of Engineering</p><br><p>Certifications:</p><p>AI Software development related certifications such as MS Certified AI Developer or Architect</p><p>Or Azure AI Foundry and Google Cloud AI/ML platforms</p><p>Or Software development related certifications such as MS Certified Developer or Architect</p><br><p>Required Skill sets:</p><ul><li><p>Expertise in developing AI projects.</p></li><li><p>Proficient in AI concepts, tools, frameworks and models.</p></li><li><p>Proficient in multiple solution architecture techniques such as conducting architecture evaluation using scenarios, component modelling and impacts analysis</p></li><li><p>Proficient in SDLC, requirements analysis, high level and detailed technical design.</p></li><li><p>Proficiency in Azure AI Foundry for enterprise AI deployment and lifecycle management.</p></li><li><p>Hands-on expertise with Google Agent Builder, Google SDK for mobile agents, and multi-agent systems.</p></li><li><p>Strong knowledge of Advanced RAG for enterprise-scale knowledge management.</p></li><li><p>Skilled in database and data architecture (SQL, NoSQL, vector databases, knowledge graphs).</p></li><li><p>Ability to design applied AI systems that are secure, scalable, and performance-optimized.</p></li><li><p>Strong communication skills to bridge technical teams and business stakeholders."</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Description</b></p><p>This is a remote position.</p><p><br></p><p>We are seeking two to three experienced Database Administrators (DBAs) to support a major database upgrade project. The successful candidates will play a critical role in planning, executing, and validating the migration of our PostgreSQL and AWS RDS environments, ensuring high availability, minimal downtime, and data integrity throughout the process.</p><p><br></p><p>Work will primarily follow Eastern Standard Time business hours, with flexibility required to perform critical upgrade activities during low-traffic windows such as late evenings or weekends.</p><p><br></p><p><br></p><p>In addition to core DBA responsibilities, this role requires hands-on experience with Bash scripting, GitHub version control, and automation to support deployment pipelines and operational runbooks.</p><p><br></p><p><br></p><p>Key Responsibilities</p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Lead and execute major PostgreSQL and AWS RDS database version upgrades</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Develop and maintain detailed upgrade plans, rollback procedures, and runbooks</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Perform pre- and post-upgrade database health checks, validation, and performance benchmarking</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Monitor, tune, and optimize database performance during and after the migration</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Collaborate with application, infrastructure, and DevOps teams to coordinate upgrade activities</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Schedule and execute critical tasks during designated low-traffic maintenance windows</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Document all procedures, configurations, and changes in a clear and auditable manner</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;(Role B only) Write and maintain Bash scripts to automate routine DBA tasks and upgrade steps</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;(Role B only) Manage version-controlled scripts, runbooks, and configs using GitHub</p><p><br></p><p><br></p><p>Work Schedule &amp; Availability</p><p>Primary working hours align with Eastern Standard Time (EST). Candidates must be available for scheduled maintenance windows — including evenings and weekends — during critical phases of the upgrade project. Advance notice will be provided for all off-hours activities.</p><p><br></p><p><br></p><p><br></p><p><b>Requirements</b></p><p>Required Qualifications</p><p><br></p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;5+ years of hands-on DBA experience with PostgreSQL in production environments</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Strong experience with AWS RDS (PostgreSQL engine) and related services (e.g., RDS Proxy, Parameter Groups, CloudWatch, Snapshots, Multi-AZ)</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Proven track record of managing major database version upgrades with minimal disruption</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Proficiency in query optimization, indexing strategies, vacuum/analyze tuning, and connection management</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Experience with database backup, recovery, and point-in-time restore procedures</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Solid understanding of high availability and disaster recovery configurations</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Strong communication skills and ability to work within a distributed remote team</p><p><br></p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Proficient in writing Bash shell scripts for automation, health checks, and scheduled tasks</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Hands-on experience with GitHub for source control, pull requests, and branching strategies</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Familiarity with CI/CD pipelines and infrastructure-as-code tools is a plus</p><p><br></p><p><br></p><p><br></p><p>Nice to Have</p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Experience with AWS Aurora PostgreSQL</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Familiarity with Terraform or CloudFormation for infrastructure provisioning</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Experience with database monitoring tools (e.g., pgBadger, Datadog, CloudWatch Insights)</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;Knowledge of pglogical, logical replication, or blue-green deployment strategies</p><p><br></p><p>•&nbsp; &nbsp; &nbsp; &nbsp;AWS certifications (e.g., AWS Certified Database – Specialty)</p></div></section>

<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 5+ 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 paid Effort estimate Tasks for this project are estimated to take 20 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 $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 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: 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 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 5+ 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 paid Effort estimate Tasks for this project are estimated to take 20 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 $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 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 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 5+ 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 paid Effort estimate Tasks for this project are estimated to take 20 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 $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

Job Summary We are seeking an experienced Senior Java Developer to design, develop, and support enterprise-grade microservices for digital banking and enterprise applications. The ideal candidate will have strong expertise in Java 17/21, Spring Boot 3.x, RESTful APIs, Microservices Architecture, Oracle Database, CI/CD, and containerized deployments. The role involves end-to-end ownership of application components, including solution design, development, testing, deployment, production support, and performance optimization while working in Agile delivery teams. Key Responsibilities Software Design & Development Design, develop, and maintain enterprise-grade Java applications. Build scalable, secure, and high-performance microservices. Design RESTful APIs and service contracts. Implement business logic using Spring Boot 3.x. Develop reusable, maintainable, and production-ready code. Ensure coding standards and best practices are followed. Microservices Development Design microservice architecture. Define service boundaries. Develop inter-service communication mechanisms. Implement resilience, fault tolerance, and error handling. Develop API endpoints and service integrations. Implement observability, logging, and monitoring. Database Development Develop applications using Oracle Database. Design and optimize SQL queries. Implement data persistence using Spring Data JPA. Develop JPA Specifications. Perform SQL performance tuning. Optimize database access and transactions. API Development Design and develop REST APIs. Define API contracts. Integrate with internal and external systems. Support API versioning and lifecycle management. Ensure API security and performance. Testing & Quality Assurance Develop Unit Tests using JUnit 5. Write Mockito-based test cases. Develop Integration Tests. Achieve required code coverage. Perform defect analysis and bug fixing. Support User Acceptance Testing (UAT). CI/CD & Dev Ops Manage source code using Git. Support CI/CD pipelines. Build applications using Maven. Manage Maven multi-module projects. Deploy applications to:Kubernetes Open Shift Microsoft Azure Support automated deployments. Production Support Investigate production incidents. Debug application, integration, and database issues. Support release management. Perform root cause analysis. Ensure application stability and availability. Code Quality & Documentation Participate in peer code reviews. Maintain technical documentation. Document APIs and services. Ensure compliance with development standards. Maintain governed dependency management. Collaboration Work closely with:Solution Architects Business Analysts QA Engineers Dev Ops Engineers Product Owners Infrastructure Teams Participate in Agile ceremonies. Support sprint planning and backlog refinement. Education Bachelor's Degree in:Computer Science Information Technology Software Engineering Computer Engineering Or equivalent qualification Required Experience Minimum 9+ years of Java development experience. Strong hands-on experience with Java 17/21 (Java 25 exposure is an advantage). Experience building enterprise microservices. Experience in Agile software delivery. Experience supporting enterprise production environments.

Job Summary We are seeking an experienced Senior Java Developer to design, develop, and support enterprise-grade microservices for digital banking and enterprise applications. The ideal candidate will have strong expertise in Java 17/21, Spring Boot 3.x, RESTful APIs, Microservices Architecture, Oracle Database, CI/CD, and containerized deployments. The role involves end-to-end ownership of application components, including solution design, development, testing, deployment, production support, and performance optimization while working in Agile delivery teams. Key Responsibilities Software Design & Development Design, develop, and maintain enterprise-grade Java applications. Build scalable, secure, and high-performance microservices. Design RESTful APIs and service contracts. Implement business logic using Spring Boot 3.x. Develop reusable, maintainable, and production-ready code. Ensure coding standards and best practices are followed. Microservices Development Design microservice architecture. Define service boundaries. Develop inter-service communication mechanisms. Implement resilience, fault tolerance, and error handling. Develop API endpoints and service integrations. Implement observability, logging, and monitoring. Database Development Develop applications using Oracle Database. Design and optimize SQL queries. Implement data persistence using Spring Data JPA. Develop JPA Specifications. Perform SQL performance tuning. Optimize database access and transactions. API Development Design and develop REST APIs. Define API contracts. Integrate with internal and external systems. Support API versioning and lifecycle management. Ensure API security and performance. Testing & Quality Assurance Develop Unit Tests using JUnit 5. Write Mockito-based test cases. Develop Integration Tests. Achieve required code coverage. Perform defect analysis and bug fixing. Support User Acceptance Testing (UAT). CI/CD & Dev Ops Manage source code using Git. Support CI/CD pipelines. Build applications using Maven. Manage Maven multi-module projects. Deploy applications to:Kubernetes Open Shift Microsoft Azure Support automated deployments. Production Support Investigate production incidents. Debug application, integration, and database issues. Support release management. Perform root cause analysis. Ensure application stability and availability. Code Quality & Documentation Participate in peer code reviews. Maintain technical documentation. Document APIs and services. Ensure compliance with development standards. Maintain governed dependency management. Collaboration Work closely with:Solution Architects Business Analysts QA Engineers Dev Ops Engineers Product Owners Infrastructure Teams Participate in Agile ceremonies. Support sprint planning and backlog refinement. Education Bachelor's Degree in:Computer Science Information Technology Software Engineering Computer Engineering Or equivalent qualification Required Experience Minimum 9+ years of Java development experience. Strong hands-on experience with Java 17/21 (Java 25 exposure is an advantage). Experience building enterprise microservices. Experience in Agile software delivery. Experience supporting enterprise production environments.

Job Summary We are seeking an experienced Senior ESB Developer with strong expertise in IBM App Connect Enterprise (ACE), IBM Integration Bus (IIB), IBM MQ, API integration, and enterprise middleware solutions. The ideal candidate will be responsible for designing, developing, deploying, and supporting enterprise integration solutions that enable seamless communication between business applications, databases, APIs, and external systems. The role requires extensive hands-on experience in IBM ACE, IBM MQ, REST/SOAP services, ESQL, message transformation, enterprise integration patterns, CI/CD, and API management while ensuring high availability, scalability, security, and performance of enterprise integration platforms. Key Responsibilities Enterprise Integration Development Design, develop, and maintain enterprise integration solutions using IBM App Connect Enterprise (ACE). Build scalable and reusable integration services. Develop message flows and integration components. Implement enterprise integration patterns. Develop secure, high-performance middleware solutions. API & Middleware Development Design and develop RESTful APIs. Develop SOAP Web Services. Integrate enterprise applications using IBM MQ. Develop synchronous and asynchronous integrations. Support API lifecycle management. Implement secure API integrations. System Analysis & Solution Design Analyze business and technical requirements. Translate business requirements into integration solutions. Design enterprise integration architecture. Develop reusable middleware components. Ensure alignment with enterprise architecture standards. Message Transformation Develop and support data transformation using:XMLJSONDFDLCSVMRMXMLNSCISO8583Perform:Message Mapping Schema Validation Data Transformation Data Routing IBM MQ Administration & Messaging Develop IBM MQ-based integrations. Configure reliable messaging. Implement asynchronous communication. Support message queues. Troubleshoot MQ-related issues. Optimize messaging performance. Testing & Quality Assurance Develop Unit Tests. Perform Integration Testing. Support System Integration Testing (SIT). Debug middleware issues. Validate API functionality. Ensure code quality and compliance. Use tools including:SOAPUIPostman CI/CD & Dev Ops Manage source code using Git. Support Jenkins CI/CD pipelines. Automate deployments. Support Dev Ops practices. Manage environment deployments across Development, QA, UAT, and Production. Production Support Monitor integration services. Investigate production incidents. Perform Root Cause Analysis (RCA). Resolve integration failures. Optimize middleware performance. Ensure high system availability. Documentation Prepare and maintain:Technical Design Documents Integration Specifications API Documentation Deployment Guides Operational Procedures Interface Documents System Architecture Documentation Collaboration Work closely with:Business Analysts Solution Architects Application Developers QA Engineers Infrastructure Teams Operations Teams Business Users Participate in Agile delivery. Support SDLC activities. Mentor junior developers and enforce development standards. Education Bachelor's Degree in:Computer Science Information Technology Computer Engineering Electronics & Communication Engineering Software Engineering Related Engineering Discipline Required Experience Minimum 8–10+ years of experience in enterprise integration development. Strong hands-on experience with IBM App Connect Enterprise (ACE). Experience with IBM Integration Bus (IIB) / Web Sphere Message Broker. Experience with IBM MQ. Experience in enterprise integration and middleware platforms. Experience working in Banking, Financial Services, Insurance, Logistics, or Enterprise environments is preferred. Mandatory Technical Skills Enterprise Integration IBM App Connect Enterprise (ACE) IBM Integration Bus (IIB) IBM Web Sphere Message Broker Enterprise Service Bus (ESB) Enterprise Integration Middleware Development Integration Architecture Message Flows IBM Technologies IBM ACEIBM MQIBM API Connect IBM Integration Solutions API Development REST APIsSOAP Web Services Microservices API Integration API Security API Design Messaging IBM MQMessage Queuing Asynchronous Messaging Publish/Subscribe Message Routing Programming ESQLShell Scripting Data Formats XMLJSONDFDLCSVMRMXMLNSCISO8583XML Schema Data Mapping Message Transformation Databases Oracle Database Microsoft SQL Server MySQLSQLDev Ops Git Jenkins CI/CD Pipelines Dev Ops Deployment Automation Testing Unit Testing Integration Testing SOAPUIPostman Debugging Performance Testing Operating Systems Linux AIXUNIXSDLCAgile Scrum SDLCCode Reviews Technical Documentation Production Support Root Cause Analysis (RCA) Preferred Skills IBM API Connect Microservices Architecture Container Platforms (Docker/Kubernetes) Open Shift Cloud Integration Banking Domain Insurance Domain Financial Services Enterprise Integration Patterns (EIP)

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Define and lead the Data &amp; Reporting Strategy for Handover &amp; Completion in alignment with LNG digital transformation objectives. Establish and enforce data governance frameworks, standards, and quality controls across all systems and stakeholders. Oversee development and delivery of enterprise Power BI dashboards, KPIs, and executive reporting packs. Lead integration of SCDB, Data Lakes, and enterprise systems, ensuring seamless data flow and accessibility. Direct the design, development, and deployment of digital applications (Power Apps and related tools) to enhance workflow efficiency. Provide strategic insights and advanced analytics to senior leadership to support project performance and risk management. Manage and optimize data architecture, pipelines, and system interfaces across internal and contractor platforms. Drive data standardization across Contractors, ensuring consistency in reporting and handover deliverables. Build, lead, and develop a high-performing data and reporting team, including capability development and succession planning. Champion digital innovation, automation, and AI-driven opportunities within Handover &amp; Completion processes. Act as the single point of accountability for all Handover &amp; Completion reporting deliverables and ensure compliance with LNG policies, cybersecurity, and data management frameworks.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's Degree in Applied Sciences or Engineering. Ten (10) years' experience in various project phases such as engineering, procurement, and construction, within large-scale commissioning projects in the Oil and Gas Industry, including two (2) years of experience in a supervisory role, including acting roles, or oversight of service/vendor personnel. Experience with Oil &amp; Gas companies, Contractors, or Service Companies. Knowledge in projects execution, engineering, operations, pre-commissioning, commissioning and systems completion. Proven track record in: Data strategy and governance implementation Enterprise reporting and analytics Digital transformation initiatives in project environments Advanced expertise in: Power BI (enterprise dashboard development, governance, deployment) Data modeling, ETL processes, and data warehousing SQL and large-scale database management Strong experience with: SCDB / Hexagon Smart Completions (or equivalent systems) Data Lake and cloud-based architecture Power Apps / low-code platforms and automation tools System integrations and API-based architecture</p><p></p></section>