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data engineer

Alpheya

<div>About Alpheya
We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon (America&rsquo;s oldest bank and first company to list on NYSE) and Lunate (a new $50B AUM alternative asset management firm based in Abu Dhabi, UAE). The company has raised $300M to build a state of the art wealth technology platform.
Our mission is to power and grow our clients&rsquo; Wealth franchises through differentiated experiences, financial solutions, and insights. Our digital wealth management platform- will enable banks and other financial institutions in the Middle East to grow and further penetrate affluent, HNW and UHNW investor segments.
While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams.
For more information, please visit www.alpheya.com
Role description and responsibilities
We're looking for a skilled Lead Data Engineer to contribute to the Python services that power our data platform. You'll help build and maintain high-throughput ETL pipelines that ingest real-time market data and expose it through secure CRUD APIs. Working alongside other backend and data engineers, you'll make sure data flows smoothly from external sources into our internal data platform.<ul>
<li>
Leadership: Lead a team of 2-3 Data Engineers to deliver production ready ETL pipelines and APIs exposing RAG and Agents capabilities.</li>
<li>Market-Data ETL Pipelines: Implement, test, and improve scalable ETL workflows that handle large volumes of data.</li>
<li>Async Orchestration &amp; Scheduling: Develop and maintain task queues with Async tools, helping the team meet SLAs and surface operational metrics.</li>
<li>API Implementation: Build REST endpoints with FastAPI Framework, providing clean CRUD access to market data and configuration entities.</li>
<li>Observability &amp; Reliability: Add structured logs, traces, and metrics; contribute alerts and dashboards (Prometheus/Grafana, OpenTelemetry) that keep services at 99.9 % + availability.</li>
<li>Code Quality &amp; Best Practices: Write type-safe, well-tested code, participate in code reviews, and help maintain CI/CD workflows.</li>
<li>Cross-Functional Collaboration: Work closely with data scientists, and product managers to translate data requirements into robust backend capabilities.</li>
</ul>
Requirements<ul>
<li>
Education - Master's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).</li>
<li>Experience - 5+ years building production Python backends for data-intensive applications.</li>
<li>Python Mastery - Modern Python (3.10 +) with asyncio, typing, dependency injection, and packaging best practices.</li>
<li>ETL Skills - Experience designing batch or streaming pipelines; comfort with Kafka, RabbitMQ, or similar tools.</li>
<li>Database Skills - Strong Postgres knowledge: migrations (Alembic, Django ORM), query tuning, partitioning, backup/restore.</li>
<li>Async Orchestration - Hands-on with async tools like Airflow, Dagster, or Celery for scheduling and monitoring jobs.</li>
<li>API Engineering - Proven ability to implement secure, versioned REST/GraphQL APIs with auth, rate-limiting, and RBAC.</li>
<li>Testing &amp; DevOps - Familiarity with Pytest, Docker, Kubernetes, Terraform, and GitHub Actions (or similar).</li>
<li>Soft Skills - Clear written and verbal communication; collaborative mindset.</li>
</ul>
Nice-to-Haves<ul>
<li>
Time-series or columnar DBs (TimescaleDB, ClickHouse, InfluxDB).</li>
<li>Knowledge of financial market-data protocols (FIX, FAST) or regulatory feeds.</li></ul></div>

Lead Data Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are seeking a skilled AWS Glue Data Engineer to join our Data Factory Squad, responsible for migrating source systems into the Lakehouse ingestion zone. This role focuses on building scalable ingestion pipelines, optimizing performance, and ensuring compliance with architectural and data assurance standards.
You will ideally have experience working in financial services with strong experience in AWS Glue, PySpark, and ETL pipeline development.
Your responsibilities as the AWS Glue Data Engineer will include:<ul>
<li>
Data Ingestion Development</li>
<li><ul><li>Building and implementing AWS Glue jobs for Bronze layer ingestion using defined standards and templates.</li>
<li>Implementing correct loading methods based on source requirements (CDC, full load, delta, snapshot).</li>
<li>Designing and executing historical loading mechanisms to bring legacy data into the Lakehouse.</li>
</ul></li><li>Performance Optimisation</li>
<li><ul><li>Optimising Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.</li>
<li>Collaborating with platform teams to ensure tooling and optimization alignment.</li>
</ul></li><li>Migration &amp; Automation</li>
<li><ul><li>Aggressively migrating source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration.</li>
<li>Ensuring jobs are version-controlled and production deployment is automated via Git and Terraform.</li>
</ul></li><li>Governance &amp; Monitoring</li>
<li><ul><li>Implementing source system connectivity into CDP in collaboration with source system owners.</li>
<li>Ensuring jobs comply with data contracts and are properly monitored.</li>
<li>Preparing documentation and handover to operational support teams.</li>
</ul></li><li>Collaboration</li>
<li><ul><li>Working closely with Data Architect for ingestion patterns and standards.</li>
<li>Coordinating with Data Assurance Lead to apply quality checks across all jobs.</li>
<li>Partnering with platform engineers for tooling and optimisation.</li>
</ul></li>
</ul>Requirements
You will have experience in:<ul><li>
AWS Glue, PySpark, and ETL pipeline development;</li></ul><ul>
<li>substantial knowledge of Lakehouse architecture and Medallion design principles;</li>
<li>familiarity with CDC, delta loads, and historical data ingestion strategies; and;</li>
<li>5+ years experience in data engineering roles, with hands-on experience in AWS Glue.</li>
</ul>
You should also have knowledge of:<ul>
<li>
AWS services: Glue, S3, Athena, Lambda;</li>
<li>Git, Terraform for CI/CD automation;</li>
<li>data quality frameworks (e.g., Soda Core);</li>
<li>identifying ways to automate their work / repetitive tasks;</li>
<li>working in a fast-paced environment and deliver aggressive migration targets;</li>
<li>collaborating and communication with different stakeholder levels; and;</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

AWS Glue Data Engineer

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Are you a data visionary who thrives at the intersection of complex architecture and strategic business value?
We are seeking a Data Modeler to spearhead the modernisation of enterprise data ecosystems. This is a high-impact consultancy role designed for an expert who can bridge the gap between low-level data engineering and high-level decision intelligence.
Your primary objective will be to design and implement scalable data models and semantic layers within Lakehouse architectures. You will go beyond traditional warehousing to build the &quot;connective tissue&quot; of the enterprise&mdash;designing robust Knowledge Graphs and Ontologies that enable seamless interoperability and advanced data discovery.
Your responsibilities as the Data Modeler will include:<ul>
<li>
Data Modeling</li>
<li><ul><li>Design conceptual, logical, and physical data models for Medallion architecture (Bronze, Silver, Gold layers).</li>
<li>Implement dimensional modeling for analytical layers.</li>
<li>Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques.</li>
<li>Define and enforce naming conventions, metadata standards, and maintain model documentation. 
</li></ul></li><li>Semantic Layer &amp; Ontologies</li>
<li><ul><li>Design and implement a semantic layer to enable business-friendly data access and self-service analytics.</li>
<li>Work with advanced AI-tooling for semantic layer deployment and integration.</li>
<li>Develop and maintain ontologies and taxonomies to standardize business concepts across domains.</li>
<li>Ensure semantic consistency across data products and reporting layers. 
</li></ul></li><li>Knowledge Graph Development</li>
<li><ul><li>Build and maintain knowledge graphs to represent relationships between entities and enable advanced data discovery.</li>
<li>Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools (e.g., OpenMetadata).</li>
<li>Collaborate with architects and platform engineers to ensure graph scalability and performance. 
</li></ul></li><li>Collaboration &amp; Governance</li>
<li><ul><li>Work closely with Data Architects to align models with Lakehouse design principles.</li>
<li>Partner with Data Engineers to ensure models are correctly implemented in Glue and Iceberg tables.</li>
<li>Collaborate with Data Quality teams to embed validation rules and ensure compliance. 
</li></ul></li></ul><ul><li>Optimisation &amp; Standards</li>
<li><ul><li>Ensure models support schema evolution, partitioning strategies, and performance optimisation.</li>
<li>Create reusable modeling templates and best practices for Data Factory squads.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
To be successful in this role, you should have:<ul>
<li>
Strong experience in data modeling for Lakehouse or data warehouse environments.</li>
<li>Proficiency in semantic layer design, ontologies, and knowledge graph development.</li>
<li>Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture.</li>
<li>Understanding of metadata management and lineage tools (OpenMetadata preferred).</li>
<li>7+ years in data modeling or data architecture roles.</li>
<li>Experience in semantic technologies, knowledge graphs, and financial services domain is a strong plus.</li>
</ul>
You will also have experience in:<ul>
<li>
Data modeling tools (ERwin, PowerDesigner, or similar).</li>
<li>Semantic layer tools (e.g., Zaimler, AtScale, or equivalent).</li>
<li>Knowledge graph frameworks (e.g., RDF, OWL, Neo4j, or similar).</li>
<li>Analytical and conceptual thinking.</li>
<li>communicating and stakeholder engagement abilities.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>collaborating and communication with different levels of stakeholders.</li>
<li>working with Jira and agile way of working.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Data Modeler

Discovered MENA

<div>
 
 
 Job Title:
 
 Data Scientist
 
 
 
 Location:
 
 Abu Dhabi (On site)
 
 
 
 
 
 We&rsquo;re hiring
 
 Data Scientists
 
 to join one of the world&rsquo;s largest and most respected financial institutions! If you&rsquo;re passionate about turning data into meaningful insights and building impactful AI solutions, we&rsquo;d love to hear from you.
 
 
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 In this role, you&rsquo;ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with large, complex datasets to solve real-world business problems
 </li>
 <li>
 Collect, clean, and preprocess data for analysis and model training
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover insights and guide model development
 </li>
 <li>
 Build, train, and optimize machine learning models using modern algorithms and frameworks
 </li>
 <li>
 Develop end-to-end ML pipelines, from data ingestion to model deployment
 </li>
 <li>
 Automate model training, testing, and deployment using CI/CD and MLOps tools
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 <ul>
 <li>
 5+ years of experience in data science, machine learning, or AI
 </li>
 <li>
 Strong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs)
 </li>
 <li>
 Proficiency in Python and/or R, with working knowledge of SQL
 </li>
 <li>
 Experience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop)
 </li>
 <li>
 Understanding of model serving, APIs (FastAPI, Flask), and optimizing models for real-time or batch inference
 </li>
 <li>
 Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow
 </li>
 <li>
 Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. SageMaker, Vertex AI)
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field
 </li>
 </ul>
 
 
 
 
 If this sounds like the right next step for you,
 
 apply now
 
 !
 
</div>

Data Scientist

ALTÉRRA

<div>
 
 
 Firm Overview
 
 
 
 
 
 
 ALT&Eacute;RRA is a $30 billion catalytic climate investment fund designed to mobilize capital at scale and accelerate the transition to a climate-resilient economy. Our mission is to activate and expand the global climate finance ecosystem by stimulating innovation, unlocking private capital, and reducing investment barriers in emerging markets and developing economies (EMDEs).
 
 
 
 
 
 With a strong emphasis on actionable, high-impact investments, ALT&Eacute;RRA deploys capital through a combination of fund investments, co-investments, and direct investments, supporting best-in-class managers and projects that align with our climate and financial objectives. Alterra Management Limited, based in ADGM and regulated by the ADGM Financial Services Regulatory Authority, serves as the investment manager for the fund.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The successful candidate will support the strategy and impact team in presentations, other material preparation, analytical and data work. This entry-level role is ideal for recent graduates with strong analytical skills, a willingness to learn, interest for climate issues, and relevant project or extracurricular experience.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Help prepare presentations, initial technical analyses and screenings of investment opportunities from an impact perspective, using quantitative methods and data analytics.
 </li>
 <li>
 Participate in research deep dives and analysis related to specific strategy, sectors or themes.
 </li>
 <li>
 Collect, clean, and analyse datasets related to climate/impact performance, applying statistical and machine learning techniques where appropriate.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in economics, environmental science, data science, sustainable business, finance, or a related field.
 </li>
 <li>
 Extracurricular involvement or project experience in climate impact, sustainability, data analytics, or related areas (e.g., university research projects, student organizations, internships, hackathons).
 </li>
 <li>
 Experience preparing technical reports, dashboards, or presentations (academic or extracurricular).
 </li>
 <li>
 Technical proficiency or familiarity with climate science, environmental policies, and sustainability frameworks is a plus.
 </li>
 <li>
 Experience or coursework in data analytics tools and programming languages (e.g., Python, R, SQL) and data visualization platforms (e.g., Power BI, Tableau) is desirable.
 </li>
 <li>
 Strong analytical and quantitative skills, with the ability to interpret and communicate complex data to both technical and non-technical audiences, both in writing and presentations.
 </li>
 <li>
 Eagerness and ability to learn quickly and adapt, take initiative, and contribute
 </li>
 <li>
 Collaborative team player, able to work effectively in a fast-paced, cross-functional environment.
 </li>
 </ul>
 
 
</div>

Electro Mechanical Co LLC

An Electrical Testing &amp; Commissioning Engineer job involves ensuring electrical systems (HV/MV/LV, substations, controls) work safely and per specification by performing tests (relay, functional, integration), troubleshooting, documenting results, managing site activities, and coordinating teamsKey Responsibilities:<ul><li>Testing &amp; Validation: Conduct pre-commissioning, functional, primary, and secondary tests on equipment (Switchgear, Power transformers, Capacitor Banks, Protective relays, UPS, chargers)..,</li><li>System Integration: Verify proper integration of electrical systems with SCADA, control, and automation systems, optimizing performance.</li><li>Troubleshooting: Diagnose and resolve technical issues during site activities, ensuring minimal downtime.</li><li>Documentation: Prepare commissioning plans, test reports, &quot;as-built&quot; drawings, and ensure compliance records are accurate.</li><li>Site Management: Oversee site activities, coordinate with project teams, contractors, and clients.</li><li>Safety &amp; Standards: Ensure all work adheres to project specifications, safety standards, and local regulations (e.g., TAQA-T,TAQA-D, DEWA, UAE codes).</li><li>Optimization: Analyze data to identify inefficiencies and bottlenecks, implementing corrective actions for peak performance.</li></ul>Skills &amp; Qualifications:<ul><li>Bachelor's Degree in Electrical Engineering.</li><li>Strong knowledge of electrical systems (up to 220kV), protection, and control systems.</li><li>Proficiency with testing equipment, MS Office, and data analysis tools.</li><li>Excellent problem-solving, communication, and documentation skills.</li><li>Ability to work under pressure, independently, and potentially travel extensively.</li><li>Engineer capable of operating basic test equipment&rsquo;s (CMC 356,CPC 100, and other secondary and primary equipment&rsquo;s).</li><li>Engineer with TAQA-T/TAQA-D Competency and UAE Driving License preferred.</li></ul>Job Type: Full-time

Electrical Testing & Commissioning Engineer

Sundus

<div>
 
 Job Code:
 
 JPC - 5685
 
 
 
 Job Title:
 
 Junior IT Engineer / IT Technician
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Job Purpose
 
 
 
 The Junior IT Engineer / IT Technician provides first-level technical support to ensure the smooth operation of IT systems, hardware, and software across the organization. The role supports end users, assists with system maintenance, data management, network administration, and helps maintain IT infrastructure, security, and meeting room readiness.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Provide day-to-day desktop and end-user support for desktops, laptops, printers, and peripherals
 </li>
 <li>
 Perform data management tasks including system data updates, backups, and basic reporting
 </li>
 <li>
 Install, configure, and maintain computer systems, operating systems, and standard business applications
 </li>
 <li>
 Troubleshoot hardware, software, digital tools, and basic network connectivity issues
 </li>
 <li>
 Provide network and digital support, including LAN, Wi-Fi, and basic routing/switching assistance
 </li>
 <li>
 Assist with IT administration tasks such as user account management, access rights, and asset tracking
 </li>
 <li>
 Support system administration activities under guidance, including monitoring system performance
 </li>
 <li>
 Arrange, configure, and support meeting rooms, video conferencing systems, and AV equipment
 </li>
 <li>
 Assist in onboarding by preparing IT equipment, system access, and workstation setup for new employees
 </li>
 <li>
 Perform routine system checks, updates, patching, and backups
 </li>
 <li>
 Escalate unresolved technical or network issues to senior IT staff or external vendors
 </li>
 <li>
 Maintain accurate documentation for IT assets, incidents, service requests, and system changes
 </li>
 <li>
 Ensure compliance with IT policies, procedures, and information security standards
 
 
 </li>
 </ul>
 
 Primary Skills
 
 
 
 <ul>
 <li>
 CCNA fundamentals
 </li>
 <li>
 Desktop Support
 </li>
 <li>
 Digital Support
 </li>
 <li>
 IT Administration
 </li>
 <li>
 Network Support
 
 
 </li>
 </ul>
 
 Key Competencies &amp; Skills
 
 
 
 <ul>
 <li>
 Strong knowledge of Windows OS, MS Office, and IT hardware
 </li>
 <li>
 Understanding of networking concepts (LAN, WAN, Wi-Fi, TCP/IP)
 </li>
 <li>
 Basic system administration and IT operations support
 </li>
 <li>
 Troubleshooting, analytical, and problem-solving skills
 </li>
 <li>
 Good communication skills with a strong customer-service mindset
 </li>
 <li>
 Ability to manage multiple tasks and support users efficiently
 </li>
 <li>
 Team-oriented with the ability to work independently when required
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Diploma or Bachelor&rsquo;s degree in Information Technology, Computer Science, or a related field
 </li>
 <li>
 Experience in data management, network &amp; desktop support, IT administration, digital support, and system administration
 </li>
 <li>
 4 years of experience in IT support or technical assistance roles
 </li>
 <li>
 CCNA or other relevant IT certifications are an advantage
 </li>
 </ul>
</div>

IT Technician / Junior IT Engineer

Explore 726+ Data engineer in Abu Dhabi United Arab Emirates this January. Find roles across top companies and apply now to boost your career.

726 data engineer jobs IN Abu Dhabi United Arab Emirates

Lead Data Engineer

AWS Glue Data Engineer

Data Modeler

Data Scientist

Data Scientist

Electrical Testing & Commissioning Engineer

IT Technician / Junior IT Engineer