Senior Data Engineer - Analytics Engineering - Databricks - Pyspark - Dimensional Models - Kimball

Senior Data Engineer - Analytics Engineering - Databricks - Pyspark - Dimensional Models - Perm We're looking for a Senior Analytics Engineer to lead the design and delivery of curated, analytics-ready data within our Lakehouse environment.

You'll translate complex business requirements into robust SQL and PySpark pipelines, own the data serving layer, and ensure data is well-modelled, governed, performant and ready for consumption across analytics and BI. You'll also provide technical leadership and mentorship, helping to establish best practices across the team.

Key Responsibilities

Design and deliver dimensional and semantic data models for analytics. Define and maintain KPIs, conformed dimensions and consistent data definitions. Develop and optimise SQL and PySpark pipelines using Databricks. Ensure high standards of data quality, testing, performance and observability.

Lead modelling reviews and contribute to technical and architectural decisions. Work closely with Data Architects, BI teams, analysts and business stakeholders. Mentor and support other Analytics Engineers. Contribute to CI/CD, automation, testing and data governance standards. About You

Essential

Strong experience as an Analytics Engineer within a modern data platform environment. Expert-level SQL and strong hands-on PySpark experience. Strong understanding of dimensional modelling, semantic layers and analytics engineering.

Proven experience with Databricks and Lakehouse architectures. Excellent stakeholder management and communication skills. Experience providing technical leadership or mentoring.

Desirable

Experience with Unity Catalog, dbt or similar transformation frameworks. Knowledge of Delta Lake, data governance and metadata management. Experience with CI/CD and automated testing. ...

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