Data Analytics Engineer

Data Analytics Engineer Hybrid Basingstoke

We're working with a growing financial services business looking to bring in a Data Analytics Engineer to help build out their data platform from the ground up.

You'll own the end-to-end lifecycle of data products - ingestion, modelling and presentation - working closely with stakeholders across the business to turn raw data into something they can actually use and act on.

What you'll be doing:

• Designing and building performant data ingestion pipelines using Apache Spark, ideally within Azure Databricks
• Contributing to the platform's data modelling and architecture
• Building dashboards and semantic models, and presenting these directly to stakeholders
• Working across the full pipeline from source systems to target repositories, with a strong focus on data quality
• Collaborating with Data Scientists to help productionise ML pipelines
• Operating within an Agile/DevOps environment

What we're looking for:

• Strong SQL and Python skills
• Solid understanding of Lakehouse architecture and data management principles
• Hands-on experience with Azure (Data Factory, Databricks, Synapse, Storage, DevOps)
• Experience designing Star Schema data models for Power BI
• 5+ years' experience building data platforms in a commercial setting

Nice to have:

• Real-time pipeline experience
• Azure Data Engineer certification
• Exposure to Kafka or other open-source tools
• Background in a regulated industry (finance/insurance)

Details:

• 60,000 - 70,000
• Permanent position
• Hybrid (Basingstoke)