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Data Engineer (Databricks UAE)

Posted 17 hours 41 minutes ago by Ports North

Permanent
Not Specified
Factory Jobs
London, United Kingdom
Job Description

Location: UAE (Fully Onsite) - Khalifa City

Contract: Initial 3 Months

Rate: Up to €420 per day

We're supporting a leading organisation in the UAE that is entering the final phase of a major cloud data platform transformation. They are seeking an experienced Data Engineer to join the team on a contract basis and help deliver critical migration and platform optimisation activities.

This is a hands on engineering role focused on modernising legacy data solutions, building scalable data pipelines, and supporting the completion of a Databricks based data platform. You'll work alongside an established Agile engineering team, taking ownership of technical deliverables and contributing to the successful transition of the platform into operational support.

Key Responsibilities
  • Develop and maintain scalable data pipelines and ingestion frameworks.
  • Migrate legacy data ingestion processes to modern Databricks solutions.
  • Refactor existing data models to align with engineering best practices.
  • Optimise Databricks environments, including cluster performance and governance.
  • Support the decommissioning of legacy data platform components.
  • Participate in testing, validation, deployments, code reviews, and continuous improvement initiatives.
  • Produce high-quality technical documentation and contribute to operational readiness.
  • Work closely with the engineering team within an Agile delivery environment.
Required Skills & Experience
  • Strong commercial experience with Databricks (5+ years preferred).
  • Hands on experience with:
    • Delta Live Tables (DLT)
    • Auto Loader
    • Databricks Asset Bundles (DABs)
    • Cluster optimisation and policy management
  • Experience with Azure Data Factory (ADF).
  • Strong Python and SQL development skills.
  • Solid Git/source control experience.
  • Experience with CI/CD pipelines and DevOps practices.
  • Experience designing and delivering scalable data engineering solutions.
  • Strong understanding of testing, validation, and production deployment processes.
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