At a Glance
- Tasks: Design and build data pipelines, dashboards, and collaborate with stakeholders.
- Company: Growing financial services business with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team in an Agile/DevOps environment with excellent career prospects.
- Why this job: Shape the future of data analytics and make a real impact in finance.
- Qualifications: Strong SQL and Python skills, plus experience with Azure and data platforms.
The predicted salary is between 60000 - 75000 £ per year.
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...
Data Analytics Engineer employer: Intec Select Limited
Join a dynamic financial services business in Basingstoke, where innovation meets collaboration. As a Data Analytics Engineer, you'll thrive in a hybrid work environment that fosters a culture of continuous learning and professional growth, with opportunities to shape the future of data analytics. Enjoy competitive benefits and the chance to work with cutting-edge technologies while making a tangible impact on the organisation's data strategy.
