Azure Databricks Engineer

About the role

We are seeking an experienced Azure Databricks Engineer to design, build, and optimise modern data platforms. You will work on real‑time streaming, Delta Lake architecture and Generative AI‑driven analytics, taking end‑to‑end ownership of data‑engineering deliverables.

Key responsibilities

• Design and implement scalable data pipelines on Azure Databricks.
• Develop and maintain Delta Lake tables, streaming solutions and medallion architecture.
• Integrate Azure Data Factory and Lakeflow declarative pipelines, including CDC and data‑quality checks.
• Collaborate with business and analytics stakeholders to translate requirements into technical solutions.
• Provide production support, monitor performance and resolve issues independently.

Required profile

• 5‑10 years of data‑engineering experience.
• Valid passport with at least one year of remaining validity.
• Willingness to be based at any of the listed locations.
• Strong communication skills for interaction with business and analytics teams.
• Proven ability to own deliverables from design through production.

Required skills

• Azure Databricks, Delta Lake, Delta Table Streaming.
• PySpark, SQL, Unity Catalog.
• Medallion Architecture, Azure Data Factory.
• Generative AI (LLM, RAG), Lakeflow (declarative pipelines, CDC).
• Databricks AI/BI or Genie, CI/CD, Git, Databricks Repos/Asset Bundles.