Data & Analytics Engineer (Databricks Lakehouse)

We're looking for a self-motivated and results-driven Data & Analytics Engineer to join a forward-thinking organisation during an exciting transformation of its global data capabilities.

In this role, you'll take ownership of designing, building, and optimising reliable data pipelines and governed analytical datasets within a Databricks Lakehouse environment. You'll play a key role in transforming raw data into high-quality, business-ready insights while ensuring strong data governance, quality, and performance.

You'll collaborate closely with business stakeholders and delivery partners to gather requirements, enhance processes, and deliver scalable, high-impact data solutions., * Build and maintain batch/streaming pipelines (PySpark, Spark SQL, DLT) across bronze, silver, and gold layers

• Implement CDC, incremental loads, and performance tuning (Z-Order, OPTIMIZE, VACUUM)
• Develop curated datasets and dimensional models for BI
• Optimise SQL warehouse performance and maintain data models
• Ensure data quality, governance, and documentation standards
• Collaborate with stakeholders and support CI/CD processes

• Strong Databricks and Spark (PySpark/Spark SQL) experience
• Knowledge of Delta Lake, DLT, and streaming pipelines
• Experience with data modelling and SQL for analytics
• Familiarity with CI/CD, Git, and infrastructure as code
• Understanding of data governance and quality frameworks
• Exposure to BI tools (eg Tableau)

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