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)