Senior Data & BI Engineer | Azure Databricks | Power BI

In this role you will modernise the data platform for a financial services business, building production data pipelines and a trusted Power BI reporting layer. You’ll work on Delta Lake-based lakehouse models and Unity Catalog, delivering analytics for customer operations or marketing. You will own end-to-end delivery, from requirements to production, and mentor others while engaging with senior stakeholders. This is a hands-on, delivery-focused opportunity at scale with a clear impact on performance and reliability.

• Build and maintain production pipelines using Databricks, Python, PySpark and SQL
• Develop the lakehouse using Delta Lake and Unity Catalog
• Create dimensional models, Power BI semantic models and advanced DAX measures
• Work with senior stakeholders to define consistent KPIs and reporting requirements
• Own data products end to end, including testing, deployment and operational support
• Identify and deliver improvements to performance, reliability and ways of working
• Mentor colleagues and help set engineering standards

• Current, hands-on production experience with Azure Databricks, Delta Lake and Unity Catalog, supported by strong PySpark and SQL skills
• Experience delivering analytics for customer operations and/or marketing teams
• Strong Power BI skills, including DAX, semantic modelling and row-level security
• Experience modernising a legacy data platform and taking solutions into production
• Track record of owning delivery end to end and being accountable for the outcome
• Experience investigating complex problems, evaluating options and driving a solution through to completion
• Evidence of making improvements without waiting to be asked
• Confidence handling delivery pressures, working with senior stakeholders and guiding colleagues
• Microsoft Fabric experience would be a bonus

• Stakeholder management
• Independent working
• Mentoring and coaching
• Azure Databricks
• Delta Lake
• Unity Catalog