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AWS Glue Data Engineer

Job in Abu Dhabi, UAE/Dubai
Listing for: Deeplight AI
Full Time position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

Deep Light 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.

Responsibilities
  • Data Ingestion Development
    • Building and implementing AWS Glue jobs for Bronze layer ingestion using defined standards and templates
    • Implementing correct loading methods based on source requirements (CDC, full load, delta, snapshot)
    • Designing and executing historical loading mechanisms to bring legacy data into the Lakehouse
  • Performance Optimisation
    • Optimising Glue job performance (DPU allocation, parallelization, partitioning) according to best practices
    • Collaborating with platform teams to ensure tooling and optimization alignment
  • Migration & Automation
    • Aggressively migrating source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration
    • Ensuring jobs are version-controlled and production deployment is automated via Git and Terraform
  • Governance & Monitoring
    • Implementing source system connectivity into CDP in collaboration with source system owners
    • Ensuring jobs comply with data contracts and are properly monitored
    • Preparing documentation and handover to operational support teams
  • Collaboration
    • Working closely with Data Architect for ingestion patterns and standards
    • Coordinating with Data Assurance Lead to apply quality checks across all jobs
    • Partnering with platform engineers for tooling and optimisation
Requirements
  • AWS Glue, PySpark, and ETL pipeline development
  • Substantial knowledge of Lakehouse architecture and Medallion design principles
  • Familiarity with CDC, delta loads, and historical data ingestion strategies
  • 5+ years experience in data engineering roles, with hands‑on experience in AWS Glue
  • AWS services:
    Glue, S3, Athena, Lambda
  • Git, Terraform for CI/CD automation
  • Data quality frameworks (e.g., Soda Core)
  • Identifying ways to automate repetitive tasks
  • Working in a fast‑paced environment and delivering aggressive migration targets
  • Collaborating and communicating with different stakeholder levels
  • Working with Jira and agile way of working
Benefits
  • Competitive salary and performance bonuses
  • Comprehensive health insurance
  • Professional development and certification support
  • Opportunity to work on cutting‑edge AI projects
  • Flexible working arrangements
  • Career advancement opportunities in a rapidly growing AI company

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 Deep Light 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.

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Position Requirements
5+ Years work experience
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