Data Engineer

Hours: 35 hrs Hybrid Working (3 days a week) Closing Date: Mon, 12 Oct 2026 Join our rapidly expanding Engineering team and help shape the future of data at Skipton. You’ll work alongside talented Data and Software Engineers and collaborate with stakeholders across Technology and the wider business to turn ambitious ideas into trusted, practical solutions.     As we continue our move from traditional on-premises infrastructure to a cloud-native data platform, you’ll have the opportunity to work with modern Microsoft Azure technologies, including Azure Databricks, Azure Data Factory and dbt. You’ll play an important part in delivering our Data Strategy and supporting an ambitious programme of change.   This is a great opportunity to contribute your expertise, keep learning and help set new standards for data engineering. You’ll be part of a collaborative and inclusive environment where experimentation is encouraged, different perspectives are valued and your work will make a meaningful difference for our customers and colleagues.     At Skipton, we're founded on fairness. We exist to do right by our members - and we believe that starts with doing right by our people. So whoever you are and whatever you bring, there's a place for you here and a genuine plan for where you go next.     What You’ll Do     Every day at Skipton is innovation day. Join our Technology team and you’ll discover that we’re constantly focused on real challenges as we build the tools that get things done for our members - quicker than you imagine.     We’re transforming the way data is used across Skipton, building a cloud-native Data Platform that provides trusted information and supports better decisions. Working collaboratively with Data Engineers, Analysts and colleagues across the Society, you’ll help design, develop and continuously improve scalable data solutions.   Design and develop secure, scalable Azure data solutions using technologies including Azure Databricks, Azure Data Factory, Azure Storage, Key Vault and dbt.   Build and implement end-to-end ETL and ELT pipelines that transform data into trusted, accessible information.   Develop and optimise data models using established approaches such as star schema, snowflake and data vault.   Maintain and improve our Enterprise Data Warehouse, ensuring performance, reliability and data quality.   Collaborate with Data Engineers, Analysts and business stakeholders to understand requirements and deliver valuable solutions.   Contribute to Agile delivery through incremental enhancements, testing, code reviews, release management and CI/CD practices.   Identify process improvements, share new ideas and mentor colleagues to strengthen capability across the team.     We work in a hybrid way, balancing flexibility with collaboration. For this role, you'll typically spend three days a week in our Skipton office, with the remaining two days working from home.     What You’ll…