senior data engineer Jobs in Abu Dhabi United Arab Emirates

senior data engineer

data analysts with data modeling (on-prem & cloud) Jobs in Abu Dhabi United Arab Emirates

data analysts with data modeling (on-prem & cloud)

data architect specialist Jobs in Abu Dhabi United Arab Emirates

data architect specialist

data delivery manager – data science & ai focus Jobs in Abu Dhabi United Arab Emirates

data delivery manager – data science & ai focus

data scientist Jobs in Abu Dhabi United Arab Emirates

data scientist

data engineer

United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 The Big Data Analytics Center (BIDAC) at UAE University is expanding its research and innovation team to advance the next generation of AI, Machine Learning, and Large Language Model (LLM) applications. The Center plays a national leadership role in AI research, data infrastructure, and digital transformation, supporting major UAE initiatives in smart government, education, and innovation. We are seeking highly motivated Data Engineers who will contribute to developing and deploying scalable AI and NLP systems, with a focus on LLM fine-tuning, optimization, and deployment in secure, domain-specific environments. This is an exceptional opportunity to work in a cutting-edge AI lab within a top research university, collaborating with multidisciplinary teams to deliver impactful projects that advance the UAE&rsquo;s AI capabilities. Key Responsibilities:
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines, ETL workflows, and databases supporting AI/ML projects.
 </li>
 <li>
 Develop and deploy LLMs and NLP pipelines for real-world use cases (education, government services, healthcare, etc.).
 </li>
 <li>
 Conduct data preprocessing, cleaning, feature extraction, and model training for structured and unstructured data.
 </li>
 <li>
 Fine-tune and optimize foundation models (GPT, LLaMA, Falcon, etc.) using domain-specific datasets.
 </li>
 <li>
 Collaborate with research teams on AI model evaluation, interpretability, and explainability.
 </li>
 <li>
 Integrate AI models with front-end applications, APIs, and databases for operational deployment.
 </li>
 <li>
 Support research publications, grant proposals, and technical documentation under BIDAC initiatives.
 
 
 </li>
 </ul>
 Minimum Qualification
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (BSc) in Computer Science, AI, Data Science, Data Engineering, or a related field.
 </li>
 <li>
 Strong programming skills in Python and experience with data processing libraries (Pandas, NumPy, PySpark, etc.).
 </li>
 <li>
 Experience in machine learning model development using frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of data structures, algorithms, and statistical methods.
 </li>
 <li>
 Experience working with databases (SQL/NoSQL) and cloud platforms (AWS, Azure, or GCP).
 
 
 </li>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in AI, Data Science or a related field.
 </li>
 <li>
 Prior experience in LLM fine-tuning, distillation, or on-premises deployment (e.g., Falcon, LLaMA, Mistral).
 </li>
 <li>
 Experience building knowledge graphs or retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Knowledge of distributed computing (Spark, Dask, Ray) and data lake architectures.
 </li>
 <li>
 Experience integrating AI systems into production-grade web or enterprise applications.
 </li>
 <li>
 Contribution to open-source AI projects, or publications in high-impact AI/ML venues.
 </li>
 <li>
 Understanding of Arabic NLP and bilingual (EN/AR) model development is a plus.
 
 
 </li>
 </ul>
 Expected Skills
 
 
 <ul>
 <li>
 Proficiency in NLP and LLM ecosystems, including tokenization, embeddings, transformers, and model fine-tuning.
 </li>
 <li>
 Familiarity with LangChain, Hugging Face Transformers, and OpenAI / Anthropic / Cohere APIs.
 </li>
 <li>
 Understanding of MLOps, containerization (Docker), and deployment tools (FastAPI, Streamlit, MLflow, etc.).
 </li>
 <li>
 Strong knowledge of data versioning and reproducibility tools (DVC, Git, etc.).
 </li>
 <li>
 Ability to handle large-scale, multi-modal datasets (text, audio, video, sensor data).
 </li>
 <li>
 Excellent analytical and problem-solving skills with a research mindset.
 </li>
 <li>
 Strong written and verbal communication skills for technical and interdisciplinary collaboration.
 
 
 </li>
 </ul>
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 31/12/2025
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Data Engineer

Healthsoft Middle East

Senior Data Engineer <ul><li>Should be proficient with SQL and Python</li><li>Should be proficient with Spark (preferably PySpark and Spark SQL)</li><li>Good to have experience with Azure Cloud, Azure Databricks, Azure Data Factory, ADLS and Azure SQL</li><li>Good to have experience in healthcare domain</li><li>Good to have Databricks or Azure certifications</li><li>Senior Devops Engineer (or Senior Platform Engineer)</li><li>Should be proficient with Azure Cloud</li><li>Should be proficient in administration for Azure Databricks</li><li>Should be proficient with IaC (infrastructure as code) - Terraform (or Bicep)</li><li>Should be proficient with version control and CI&amp;CD using Azure Pipelines (or equivalent e.g., Github Actions)</li><li>Good to have experience with data engineering and analytics team</li><li>Good to have experience about Spark (how compute works, infra optimizations, performance improvements)</li><li>Good to have Databricks and Azure certification</li><li>Senior Data Modeler (or BI analyst with medallion data architecture design)</li><li>Should be proficient with SQL and Spark</li><li>Should have experience in data modeling and architecture (conceptual, logical, and physical data models) &mdash; dimensional modeling, relational modeling, etc.</li><li>Should have adept knowledge about healthcare domain</li><li>Should have excellent analytical skills for data analysis and profiling</li><li>Should have technical writing skills for model documentation and to use modelling tools</li><li>Good to have experience with metadata management and data governance</li><li>Minimum 10 years of experience in similar functional domain is required.</li></ul>Job Type: Full-time

Senior Data Engineer

CloudJune Technologies LLC

Job SummaryAs a Senior Data Engineer, you will be a foundational architect, responsible for designing, building, and maintaining the robust, scalable, secure, and high-performance data infrastructure that powers our AI/ML initiatives. You will work closely with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and Software Engineers to ensure the seamless flow of data from diverse government sources into our AI/ML pipelines, enabling the development and deployment of impactful intelligent applications across Abu Dhabi.What You'll Do:&#9679; Design, build, and maintain scalable and reliable data pipelines for ingesting, transforming, and storing large and complex datasets from various government sources (structured, semi-structured, and unstructured).&#9679; Architect and implement data warehousing and data lake solutions on cloud platforms (primarily Azure) to provide a centralized and accessible data foundation for AI/ML and analytics.&#9679; Develop and optimize ETL/ELT processes using industry-standard tools and technologies (e.g., Azure Data Factory, Databricks, Kafka) to ensure data quality, integrity, and efficient processing.&#9679; Implement and manage data governance policies and procedures, ensuring data security, compliance with government regulations, and adherence to data quality standards.&#9679; Collaborate with Data Scientists and AI Engineers to understand their data requirements and build data pipelines that meet their specific needs for model development and evaluation.&#9679; Work closely with AIOps/MLOps Engineers to ensure seamless integration of data pipelines with AI/ML workflows and deployment processes.&#9679; Design and implement data monitoring and alerting systems to proactively identify and resolve data quality issues and pipeline failures.&#9679; Optimize data storage and retrieval systems for performance and cost-efficiency, leveraging appropriate database technologies (relational, NoSQL, vector, graph).&#9679; Implement data security measures including access control, encryption, and data masking to protect sensitive government data.&#9679; Develop and maintain data catalogs and data lineage solutions to ensure data discoverability, understand data flow, and facilitate data governance.&#9679; Evaluate and adopt new data engineering tools and technologies to continuously improve our data infrastructure and processes.&#9679; Troubleshoot and resolve data-related issues across the data lifecycle, ensuring data availability and reliability for AI/ML and analytics.&#9679; Document data pipelines, data models, and data engineering processes clearly and concisely for both technical and non-technical stakeholders.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field with a strong focus on data management and infrastructure.&#9679; At least 3 years of hands-on experience in designing, building, and maintaining data pipelines and data infrastructure in a production environment.&#9679; Deep understanding of data warehousing concepts, data modeling techniques (e.g., Kimball, Inmon), and data lake architectures.&#9679; Proven experience with cloud platforms, especially Microsoft Azure, and their data engineering services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks).&#9679; Extensive experience with ETL/ELT tools and technologies (e.g., Apache Spark, Apache Kafka, SQL).&#9679; Strong proficiency in SQL and experience with various database systems, including:&#9675; Relational Databases: (e.g., PostgreSQL, SQL Server, Azure SQL Database).&#9675; NoSQL Databases: (e.g., MongoDB, Cassandra, Azure Cosmos DB).&#9675; Vector Databases: (e.g., Milvus, Pinecone, ChromaDB - understanding their data ingestion and retrieval aspects).&#9675; Graph Databases: (e.g., Neo4j, ArangoDB - understanding their data modeling and querying aspects).&#9679; Strong scripting and programming skills in languages such as Python or Scala for data processing and automation.&#9679; Experience with data governance frameworks, data quality management, and data security principles.&#9679; Experience with data monitoring and alerting tools.&#9679; Excellent problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues.&#9679; Strong collaboration and communication skills, with the ability to work effectively with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and other stakeholders.&#9679; A proactive and detail-oriented approach with a strong focus on building robust and reliable data infrastructure.Bonus Points For:&#9679; Experience with data virtualization technologies.&#9679; Experience with building real-time data pipelines.&#9679; Knowledge of data lineage and data catalog tools (e.g., Azure Purview).&#9679; Experience with implementing data mesh concepts.&#9679; Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates) for data infrastructure provisioning.&#9679; Certifications in relevant cloud platforms or data engineering technologies.&#9679; Experience working with government data regulations and compliance standards.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>data pipelines and data infra in a production env: 5 years (Required)</li><li>ETL/ELT tools and tech, Apache Spark, Apache Kafka, SQL: 5 years (Required)</li><li>AI/ML development : 3 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

ENEC Operations

<div>
 
 
 Job Description:
 
 We are seeking a skilled Data Architect to design, create, deploy, and manage our organization's data architecture. The ideal candidate will define how data is stored, consumed, integrated, and managed across various data entities and IT systems. You will align the data architecture with business requirements and IT strategy, creating a blueprint for effective data management that supports our organizational goals. Your role will be pivotal in optimizing data systems and ensuring data security, integrity, and accessibility.
 
 
 
 Key Responsibilities:
 
 
 
 
 Designing and Implementing Data Architecture:
 
 
 <ul>
 <li>
 Develop and maintain scalable, secure data systems that meet performance and scalability requirements.
 </li>
 <li>
 Design data models, databases, and storage frameworks while maintaining data integrity and security.
 </li>
 <li>
 Ensure integration, optimization, and compliance with industry standards and regulations.
 </li>
 <li>
 Conduct regular reviews, updates, and effectively communicate architectural changes to stakeholders.
 </li>
 <li>
 Monitor and troubleshoot data systems to ensure continuous operation and performance.
 </li>
 </ul>
 
 
 Data Integration and Quality Assurance:
 
 
 <ul>
 <li>
 Integrate data from various sources seamlessly.
 </li>
 <li>
 Maintain data accuracy, consistency, and availability.
 </li>
 <li>
 Conduct regular data audits and quality checks.
 </li>
 <li>
 Develop and enforce data quality standards.
 </li>
 <li>
 Troubleshoot and resolve data integration issues.
 </li>
 <li>
 Adhere to data quality standards and procedures, maintain high levels of data quality and reliability, and report on data quality metrics and improvements.
 </li>
 </ul>
 
 
 Ensuring Data Security and Compliance:
 
 
 <ul>
 <li>
 Implement data security measures and governance policies to ensure data integrity and protection against breaches.
 </li>
 <li>
 Monitor, enforce, and comply with data privacy regulations and regulatory standards.
 </li>
 <li>
 Conduct regular security audits and risk assessments to identify and mitigate security risks promptly.
 </li>
 </ul>
 
 
 Optimizing Data Performance:
 
 
 <ul>
 <li>
 Regular monitoring and optimization of data systems to ensure they meet business performance needs.
 </li>
 <li>
 Tuning data systems for efficient access and real-time insights to help maintain optimal speeds and reliability.
 </li>
 <li>
 Timely resolution of performance issues, along with thorough documentation of improvements and changes.
 </li>
 <li>
 Implement performance optimization strategies.
 </li>
 <li>
 Analyze and resolve performance bottlenecks.
 </li>
 <li>
 Continuous improvement of data system performance.
 </li>
 </ul>
 
 
 Collaborating with Stakeholders and Staying Updated:
 
 
 <ul>
 <li>
 Work with stakeholders to define data requirements.
 </li>
 <li>
 Develop strategies for data solutions.
 </li>
 <li>
 Stay updated with the latest technology trends and best practices.
 </li>
 <li>
 Communicate data strategies and updates to stakeholders.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Management, or a related field.
 </li>
 <li>
 At least 5 to 10 years of experience in database administration, data management, or a similar role.
 </li>
 <li>
 Proficiency in SQL, NoSQL, and database technologies. Familiarity with data modeling, data warehousing solutions.
 </li>
 <li>
 Understanding how to design and implement data models that accurately represent business processes and data relationships.
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with cloud data solutions and platforms such as Azure.
 </li>
 <li>
 Professional certifications such as Certified Data Management Professional (CDMP), AWS Certified Solutions Architect.
 </li>
 <li>
 Experience with data Lakehouses, particularly Databricks and/or Azure Fabric.
 </li>
 <li>
 Ability to analyze complex data sets and derive meaningful insights.
 </li>
 </ul>
</div>

Data Architect Specialist

Data Scientist – Financial Data & AI

DICETEK LLC

<div>We are seeking skilled Data Analysts with strong Data Modeling experience to support our data-driven AI initiatives.
The candidate will analyze, model and optimize data across on-premise and cloud databases, collaborate with business stakeholders, and enable actionable insights through well-structured data solutions.
Request you to share shortlisted CVs matching the below requirements.
Job Title: Data Analyst
Work Location: Abu Dhabi
Experience Required: 5+ years
Key Responsibilities:
<ul><li>Analyze and interpret large datasets to generate actionable insights for business stakeholders.</li><li>
Design, develop and maintain conceptual and physical data model for both on-premise and cloud database environments.</li><li>
Collaborate with Data Engineers, Architects and Business analysts to ensure proper implementation of data models in data warehouses, lakes, or marts.</li><li>
Map business requirements to data sources and identify data gaps or redundancies.</li><li>
Perform data profiling, validation and quality assessments.</li><li>
Support ETL/ELT processes and integration of multiple data sources</li><li>
Document data definitions, lineage and metadata to ensure consistencies and governance.</li></ul>
Required Skills and Qualifications:<ul><li>
5+ years of experience in data analysis and data modeling.</li><li>
Strong proficiency in SQL for querying, profiling and validation.</li><li>
Hands-on experience with data modeling tools and exposure to on-premise databases and Cloud databases.</li><li>
Familiarity with ETL/ELT processes, data pipelines and cloud data platforms.</li><li>
Strong analytical, problem solving and communication skills.</li></ul>
Nice-to-have:<ul><li>
Knowledge of data governance, cataloging or lineage tools.</li><li>
Experience in cloud data migration or hybrid data environments.</li><li>
Understanding of business domain data models.</li></ul></div>

Data Analysts with Data Modeling (On-Prem & Cloud)

Imbibe Consultancy Services Pvt Ltd

<div>
 
 Experience:
 
 7 to 12 years
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Job code:
 
 101331
 
 
 
 Posted on:
 
 Sep 23, 2025
 
 
 
 About Us
 
 
 
 AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
 
 
 We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
 
 
 
 Job Summary
 
 
 
 We are seeking an experienced Data Scientist to join our team and drive advanced analytics initiatives in the public sector finance domain. The ideal candidate will have proven expertise in machine learning, predictive analytics, and financial forecasting, and will act as a key advisor, model developer, and knowledge transfer facilitator.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Deployment of a machine learning-based anomaly detection system, including reports of detected anomalies and recommended mitigation actions.
 </li>
 <li>
 Roadmap and integration plan for advanced analytics use cases within the Financial Foresight Platform.
 </li>
 <li>
 Implementation of an automated reconciliation system integrated between FMIS and TMS, supported by anomaly detection capabilities.
 </li>
 <li>
 Scenario analysis reports detailing identified risks, compliance gaps, and ML model outputs to support decision-making.
 </li>
 <li>
 Development of predictive models for debt management and reporting on optimal debt strategies.
 </li>
 <li>
 Insights and visual reports on the influence of external economic indicators and trends on national financial planning.
 </li>
 <li>
 Identification and documentation of additional use cases, along with
 
 
 </li>
 </ul>
 recommendations for refining and optimizing existing analytics models.
 
 
 
 Role Requirements And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python, R, or similar languages for machine learning.
 </li>
 <li>
 Hands-on experience with data platforms and cloud-based analytics.
 </li>
 <li>
 Strong understanding of public sector finance and economic modeling.
 </li>
 <li>
 Experience in dashboard development using Tableau is a plus.
 </li>
 <li>
 The individual will act as an advisor, model developer, and knowledge transfer facilitator to build internal capacity.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
 </li>
 <li>
 Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.
 </li>
 <li>
 Competitive compensation &amp; benefits, ESOPs and international assignments.
 </li>
 <li>
 Supportive environment with healthy work-life balance and a focus on employee well-being.
 </li>
 <li>
 Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position
</div>

Data Scientist

Explore 652+ Data engineer in Abu Dhabi United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

652 data engineer jobs IN Abu Dhabi United Arab Emirates

Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Architect Specialist

Data Scientist – Financial Data & AI

Data Analysts with Data Modeling (On-Prem & Cloud)

Data Scientist