Senior Data & BI Engineer

Datatech Analytics; Reading; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Datatech Analytics is seeking a Senior Data & BI Engineer to own end-to-end data solutions, delivering reliable pipelines and Power BI insights for commercial decisions.

You will use Azure Databricks, Unity Catalog and Delta Lake to build trusted data models, while mentoring teammates and improving engineering standards within a hybrid Berkshire-based role.

Qualifications

• Strong production experience with Databricks, PySpark, Delta Lake and Unity Catalog.
• Hands-on Power BI expertise, including data modelling, DAX, RLS and performance optimisation.
• Strong SQL skills and experience with Azure data services.
• Experience supporting contact-centre operations and/or performance marketing.

Responsibilities

• Build and optimise pipelines using Azure Databricks, PySpark, SQL, ADF and ADLS Gen2.
• Develop governed lakehouse solutions using Delta Lake, medallion architecture and Unity Catalog.
• Own Power BI semantic models, DAX measures and row-level security, ensuring reporting is accurate, secure and performant.
• Translate marketing and contact-centre requirements into clearly defined metrics and actionable reporting.
• Modernise legacy processes and improve reliability, data quality and maintainability.
• Work with senior stakeholders to clarify requirements, explain trade-offs and recommend solutions.
• Strengthen engineering practices through testing, documentation, Git and CI/CD.
• Mentor colleagues and share good practice across the team.

Skills

Databricks

PySpark

Delta Lake

Unity Catalog

Power BI

DAX

RLS

SQL

Azure

Tools

Azure Databricks

ADF

ADLS Gen2

Job description

Location: Berkshire | Hybrid – Flexible office attendance 1-2 days per month

Ref: J13180

Take ownership of data solutions that directly influence customer acquisition, sales and operational performance.

A financial services business is seeking a Senior Data & BI Engineer with strong, hands‑on Azure Databricks, Unity Catalog and Power BI experience, combined with an understanding of how data supports commercial and operational decisions.

You’ll own the journey from source data to trusted business reporting: building reliable pipelines, developing robust data models and delivering Power BI insights that help stakeholders make better decisions.

We’re looking for someone who takes accountability for delivery, investigates problems independently and brings practical solutions. You’ll work confidently with stakeholders, ensure reporting is accurate and useful, and improve engineering standards while supporting colleagues.

What you’ll do

• Build and optimise pipelines using Azure Databricks, PySpark, SQL, ADF and ADLS Gen2.
• Develop governed lakehouse solutions using Delta Lake, medallion architecture and Unity Catalog.
• Own Power BI semantic models, DAX measures and row‑level security, ensuring reporting is accurate, secure and performant.
• Translate marketing and contact‑centre requirements into clearly defined metrics and actionable reporting.
• Modernise legacy processes and improve reliability, data quality and maintainability.
• Work with senior stakeholders to clarify requirements, explain trade‑offs and recommend solutions.
• Strengthen engineering practices through testing, documentation, Git and CI/CD.
• Mentor colleagues and share good practice across the team.

What you’ll bring

• Strong production experience with Databricks, PySpark, Delta Lake and Unity Catalog.
• Hands‑on Power BI expertise, including data modelling, DAX, RLS and performance optimisation.
• Strong SQL skills and experience with Azure data services.
• Experience supporting contact‑centre operations and/or performance marketing.
• Confidence defining and validating measures such as lead conversion, acquisition costs, attribution, agent performance or service levels.
• A track record of independently owning delivery, resolving complex problems and introducing improvements.
• Clear communication and the confidence to constructively challenge requirements and existing approaches.
• Awareness of Microsoft Fabric would also be useful.