data developer

Tandem Interim

<div>
 <p>
  Hiring: Data Quality Developer
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍 Abu Dhabi, UAE (Onsite)
 </p>
 <p>
  📅 12-Month Contract
 </p>
 <p>
  🏢 Management Consulting Firm
 </p>
 <p>
  <br/>
 </p>
 <p>
  A leading consulting firm is seeking a
  <strong>
   Data Quality Developer
  </strong>
  to support a large-scale government data transformation program in Abu Dhabi.
 </p>
 <p>
  This role focuses on designing, implementing, and automating data quality controls across source systems, ETL/ELT pipelines, and analytical platforms to ensure data is accurate, complete, consistent, and reliable.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Perform data profiling and analysis to identify quality issues across source systems.
  </li>
  <li>
   Develop automated validation checks across ETL/ELT pipelines.
  </li>
  <li>
   Validate schema changes, data types, constraints, and referential integrity.
  </li>
  <li>
   Detect and investigate anomalies, duplicates, missing values, and out-of-range data.
  </li>
  <li>
   Build reusable data quality frameworks using SQL, Python, or similar technologies.
  </li>
  <li>
   Implement automated reconciliation, regression testing, and validation processes.
  </li>
  <li>
   Monitor critical data pipelines and investigate data quality incidents.
  </li>
  <li>
   Conduct root cause analysis and work with engineering teams to resolve issues.
  </li>
  <li>
   Document validation logic, business rules, and data quality controls.
  </li>
  <li>
   Contribute to enterprise data quality standards, frameworks, and best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements
 </p>
 <ul>
  <li>
   5&ndash;7 years of experience in Data Quality, Data Engineering, Analytics Engineering, or related fields.
  </li>
  <li>
   Strong hands-on experience supporting production ETL/ELT environments.
  </li>
  <li>
   Experience developing automated data validation and quality controls.
  </li>
  <li>
   Advanced SQL skills for profiling, reconciliation, and validation.
  </li>
  <li>
   Experience with Python or other scripting languages.
  </li>
  <li>
   Familiarity with data warehouses, data lakes, and modern data platforms.
  </li>
  <li>
   Experience with workflow orchestration and scheduled pipelines.
  </li>
  <li>
   Strong troubleshooting, debugging, and problem-solving skills.
  </li>
  <li>
   Ability to work closely with Data Engineers, BI teams, and Analytics teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Nice to Have
 </p>
 <ul>
  <li>
   Experience with Data Quality tools and frameworks.
  </li>
  <li>
   Exposure to government or large-scale enterprise data environments.
  </li>
  <li>
   Experience with metadata management or data cataloging solutions.
  </li>
  <li>
   Knowledge of statistical and rule-based validation techniques.
  </li>
  <li>
   DAMA, CDMP, or Data Governance certifications.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Quality Developer

HTC Global Services

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the Role:
  <br/>
  <br/>
 </strong>
 We are seeking a Data Engineer (Innovation) with 6+ years of experience to design, develop and maintain data pipelines to support AI initiatives.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with data scientists to understand requirements and ensure data availability and quality.
  </li>
  <li>
   Implement data processing and transformation logic to prepare data for analysis and modelling.
  </li>
  <li>
   Monitor and optimize data pipelines for performance, scalability, and reliability.
  </li>
  <li>
   Stay abreast of the latest advancements in data engineering technologies and best practices.
  </li>
  <li>
   Contribute to low-level architecture/technical design aligned to the high-level solution and business
  </li>
  <li>
   requirements
  </li>
  <li>
   Work within the agile development team to analyse and decompose stories into tasks for simpler
  </li>
  <li>
   implementation
  </li>
  <li>
   Proactively identify new frameworks/tools/processes to enhance the efficiency of the development team
  </li>
  <li>
   Responsible for the end-to-end quality of your own deliverables
  </li>
  <li>
   Communicate clearly and effectively with team members throughout all the implementation lifecycle
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  </li>
  <li>
   Proven experience working as a Data Engineer or similar role, preferably in the airline industry or a related field.
  </li>
  <li>
   Proficiency in programming languages such as Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Apache Spark).
  </li>
  <li>
   Strong understanding of database technologies and SQL.
  </li>
  <li>
   Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) is a plus.
   <br/>
   <br/>
  </li>
 </ul>
</div>


Data Engineer (Innovation)

Birbal AI

<div>
 <p>
  The Data Engineer will be responsible for supporting data management, system integration, reporting data flows, and enterprise application data activities. The role requires hands-on experience in SQL, data pipelines, data extraction, transformation, APIs, CRM/Dataverse data structures, reporting datasets, and production support.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  Develop, maintain, and optimize data pipelines and data integration workflows.
 </p>
 <p>
  Work with SQL databases, CRM/Dataverse, APIs, and enterprise application data sources.
 </p>
 <p>
  Support data extraction, transformation, loading, and reconciliation activities.
 </p>
 <p>
  Build and maintain datasets for dashboards, reports, and analytics.
 </p>
 <p>
  Troubleshoot data issues related to missing records, incorrect mappings, failed integrations, or report mismatches.
 </p>
 <p>
  Support integration between enterprise applications, portals, CRM systems, and reporting platforms.
 </p>
 <p>
  Work with Power BI datasets, SQL scripts, views, stored procedures, and data models.
 </p>
 <p>
  Support automation workflows using Power Automate or similar platforms.
 </p>
 <p>
  Coordinate with business users, application teams, QA teams, and data quality resources to resolve data issues.
 </p>
 <p>
  Prepare and maintain technical documentation for data flows, mappings, APIs, and transformation logic.
 </p>
 <p>
  Ensure data security, confidentiality, governance, and compliance requirements are followed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <p>
  Strong SQL development and database knowledge.
 </p>
 <p>
  Experience in ETL/ELT, data pipelines, and data integration.
 </p>
 <p>
  Knowledge of CRM/Dataverse or similar enterprise application data models.
 </p>
 <p>
  Experience with Power BI datasets, reporting databases, or analytics platforms.
 </p>
 <p>
  Understanding of APIs, data exchange, and system integration.
 </p>
 <p>
  Good knowledge of data validation, data reconciliation, and data troubleshooting.
 </p>
 <p>
  Strong analytical, problem-solving, and communication skills.
 </p>
</div>


Data Engineer – SQL, Power BI & Dataverse

TMC Middle East

<div>
 <p>
  TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 </p>
 <p>
  We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Position: Senior Data Scientist
 </p>
 <p>
  Location: Abu Dhabi
 </p>
 <p>
  Experience: 8+ Years
 </p>
 <p>
  Preferred: Western &amp; Diverse candidates
 </p>
 <p>
  <br/>
 </p>
 <p>
  Technical Requirements
 </p>
 <p>
  ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
 </p>
 <p>
  Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 </p>
 <p>
  techniques.
 </p>
 <p>
  ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
 </p>
 <p>
  prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 </p>
 <p>
  ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 </p>
 <p>
  familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 </p>
 <p>
  data extraction from specialized formats is a significant plus.
 </p>
 <p>
  ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 </p>
 <p>
  (Flask/FastAPI) and integrate them into larger software architectures.
 </p>
 <p>
  ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 </p>
 <p>
  identifying and mitigating biases in datasets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Professional Qualifications
 </p>
 <p>
  ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 </p>
 <p>
  track record of deploying models into production environments.
 </p>
 <p>
  ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 </p>
 <p>
  construction regulations, defense standards, supply chain taxonomies) and translate them
 </p>
 <p>
  into logic.
 </p>
 <p>
  ● Structured Delivery: Experience working in structured delivery models
 </p>
 <p>
  (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
 </p>
 <p>
  ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 </p>
 <p>
  Backend Engineers, and Product Managers to align model outputs with real-world
 </p>
 <p>
  business logic.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Please share your CV with the title of
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 </p>
</div>


Senior Data Scientist

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3823
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Key Responsibilities:
<br>
Data Engineering:
<br>
<ul><li>Design, build, and maintain scalable data pipelines and ETL processes.
</li><li>Work with large datasets and data lakehouses, including Databricks and Azure Fabric.
</li><li>Ensure data quality, integrity, and security across all data pipelines.
</li><li>Optimize data storage and retrieval processes for performance and efficiency.
</li></ul>Machine Learning Engineering:
<br>
<ul><li>Develop, implement, and optimize machine learning models and algorithms.
</li><li>Perform data analysis and model tuning to improve accuracy and performance.
</li><li>Deploy machine learning models into production environments.
</li><li>Monitor and maintain the performance of deployed models.
</li></ul>Collaboration:
<br>
<ul><li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
</li><li>Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
</li></ul>Continuous Learning:
<br>
<ul><li>Stay up-to-date with the latest advancements in data engineering and machine learning.
</li><li>Participate in training and development opportunities to enhance skills and knowledge.<br>
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><ul><li>5-10 years of experience in data engineering and machine learning.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data lakehouses, particularly Databricks and Azure Fabric.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul></div></div></div></div></div></div></div></div><p></p>

Data Engineer

Salt

<div>
 <p>
  <strong>
   🤖 Full Stack Engineer
  </strong>
 </p>
 <p>
  <strong>
   ⏳ 6-month initial contract - with extensions
  </strong>
 </p>
 <p>
  <strong>
   📍 Abu Dhabi
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Build the Future of AI in Banking
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're partnering with one of the UAE's leading financial institutions to hire an experienced
  <strong>
   Full Stack Developer
  </strong>
  to help shape the next generation of AI-powered banking.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll play a key role in developing the customer and operational interfaces for a cutting-edge
  <strong>
   Agentic AI platform
  </strong>
  , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
  <strong>
   React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
  </strong>
  , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 </p>
 <p>
  The Role As a
  <strong>
   Full Stack Developer
  </strong>
  , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Be Doing:
  </strong>
 </p>
 <p>
  Build Modern AI Applications
 </p>
 <ul>
  <li>
   Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
  </li>
  <li>
   Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
  </li>
  <li>
   Create responsive, accessible applications that deliver an exceptional user experience.
  </li>
 </ul>
 <p>
  Human-in-the-Loop (HITL) Platform
 </p>
 <ul>
  <li>
   Develop reviewer portals enabling operations teams to validate AI-generated decisions.
  </li>
  <li>
   Build document viewers with field overlays and confidence indicators.
  </li>
  <li>
   Create streamlined approval, edit and rejection workflows with productivity-focused features.
  </li>
 </ul>
 <p>
  Operational Dashboards
 </p>
 <ul>
  <li>
   Build real-time dashboards displaying AI performance and operational health.
  </li>
  <li>
   Visualise key metrics including:
  </li>
  <li>
   Straight Through Processing (STP)
  </li>
  <li>
   Human intervention rates
  </li>
  <li>
   AI confidence trends
  </li>
  <li>
   Processing latency
  </li>
  <li>
   Token consumption
  </li>
  <li>
   Document volumes
  </li>
  <li>
   Exception analytics
  </li>
 </ul>
 <p>
  Platform &amp; API Integration
 </p>
 <ul>
  <li>
   Integrate applications with AI services, REST APIs and backend orchestration platforms.
  </li>
  <li>
   Develop secure communication between AI services and banking applications.
  </li>
  <li>
   Consume real-time event streams using WebSockets and Server-Sent Events.
  </li>
 </ul>
 <p>
  Internal AI Tooling
 </p>
 <ul>
  <li>
   Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
  </li>
  <li>
   Create developer tooling that accelerates AI delivery across multiple business functions.
  </li>
 </ul>
 <p>
  Performance &amp; Accessibility
 </p>
 <ul>
  <li>
   Deliver highly performant applications optimised for enterprise environments.
  </li>
  <li>
   Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
  </li>
  <li>
   Contribute to a reusable design system and component library aligned with corporate branding.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <p>
  Essential Experience
 </p>
 <ul>
  <li>
   5+ years' experience as a Full Stack Developer
  </li>
  <li>
   Commercial experience delivering
   <strong>
    AI, Generative AI, Agentic AI or Conversational AI
   </strong>
   projects
  </li>
  <li>
   Strong React &amp; TypeScript development experience
  </li>
  <li>
   Node.js or Python (FastAPI / Express)
  </li>
  <li>
   REST API integration and development
  </li>
  <li>
   Experience with WebSockets or Server-Sent Events
  </li>
  <li>
   State management using Redux, Zustand or React Query
  </li>
  <li>
   Data visualisation using Recharts, D3 or similar libraries
  </li>
  <li>
   OAuth2 / OpenID Connect authentication
  </li>
  <li>
   Docker and Kubernetes fundamentals
  </li>
  <li>
   Experience building scalable, enterprise-grade web applications
  </li>
 </ul>
 <p>
  Nice to Have
 </p>
 <ul>
  <li>
   React Native or mobile banking application development
  </li>
  <li>
   Azure Static Web Apps, Azure Front Door or CDN configuration
  </li>
  <li>
   High-resolution document rendering and annotation tools
  </li>
  <li>
   Experience displaying streaming LLM responses
  </li>
  <li>
   Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
  </li>
  <li>
   Experience working within Azure cloud environments
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join?
  </strong>
 </p>
 <p>
  This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 </p>
</div>


Full Stack Engineer

Farah Experiences

<div><div><b>Join Us at Miral Experiences
</b></div><div></div><div>At <b>Miral Experiences </b>, we don&acirc;&euro;&trade;t just create jobs &acirc;&euro;&rdquo; we create <b>extraordinary moments </b>. As part of the visionary <b>Miral Group </b>, we bring to life some of the world&acirc;&euro;&trade;s most iconic attractions, including <b>Ferrari World Abu Dhabi </b>, <b>Warner Bros. World Abu Dhabi </b>, <b>Yas Waterworld </b>, and <b>SeaWorld Yas Island </b>.
</div><div>We are passionate about delivering <b>unforgettable guest experiences </b>and shaping the future of leisure and entertainment in the UAE. Our team is made up of innovators, doers, and dreamers who thrive in a dynamic, inclusive, and purpose-driven environment.
</div><div>If you're looking to be part of something bigger &acirc;&euro;&rdquo; where your work directly contributes to <b>memorable experiences for millions </b>&acirc;&euro;&rdquo; then <b>Miral Experiences is the place for you </b>.
</div><div></div><div>Are you passionate about building scalable data systems and ensuring data quality across platforms? Join our growing Data Engineering team as a <b>Senior Data Operations Engineer </b>and help us shape the future of data infrastructure and analytics.
</div><div></div><div><b>What You&acirc;&euro;&trade;ll Do
</b></div><ul><li><p>Build and maintain robust ETL/ELT pipelines for efficient data flow.
</p></li><li><p>Monitor and troubleshoot data systems for performance and reliability.
</p></li><li><p>Lead incident and problem management, ensuring SLA compliance.
</p></li><li><p>Automate data processing and reporting workflows.
</p></li><li><p>Collaborate with Data Engineers, Scientists, BI, and DevOps teams.
</p></li><li><p>Document processes and communicate with business and IT stakeholders.
</p></li></ul><div></div><div><b>What You Bring
</b></div><ul><li><p><b>4+ years </b>in Data Engineering or Data Operations.
</p></li><li><p>Strong SQL skills and experience with relational databases.
</p></li><li><p>Hands-on with cloud platforms (Google Cloud, Azure, Microsoft Fabric).
</p></li><li><p>Proficient in ETL tools and orchestration frameworks (Airflow, Prefect, etc.).
</p></li><li><p>Familiar with big data tools (Hadoop, Spark) and programming (Python, Java, Scala).
</p></li><li><p>DevOps knowledge (CI/CD, Docker, Kubernetes) is a plus.
</p></li><li><p>Bonus: Experience with MLOps, Kafka, and data governance.
</p></li></ul><div></div><div><b>Education
</b></div><div>Bachelor&acirc;&euro;&trade;s in Computer Science, Engineering, or related field (Master&acirc;&euro;&trade;s is a plus).
</div><div></div><div><b>Ready to Make an Impact?
</b></div><div>If you're passionate about people, service, and creating a workplace where colleagues feel supported and valued &acirc;&euro;&rdquo; we&acirc;&euro;&trade;d love to hear from you. <b>Apply now </b>and take the next step in your career with <b>Miral Experiences </b>&acirc;&euro;&rdquo; where your work helps shape unforgettable moments every day.</div></div>

Data Operations Senior Engineer

Explore 301+ Data developer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.