35 hours per week, Hybrid (3 days in office)
Fri, 12 Jun 2026
We’re recruiting a Principal Data Engineer to set the technical direction for our enterprise data platform and raise the bar for modern, trusted, high-quality data across Skipton.
Not just another building society. Not just another job.
We're the fourth biggest building society in the UK and what makes us a bit different is that we're a mutual organisation. We don't have shareholders; we're owned by our members.
Our colleagues say Skipton's a great place to work, and you could be one of them, bringing with you new ideas on how we can keep customers at the heart of what we do.
Whatever your background, and whatever your goals, we'll help you take the next step towards a better future.
You’ll be joining our Data Capability function, working at enterprise scale across product, platform, analytics, governance, cyber, and delivery teams.
As a Principal Data Engineer, you’ll operate with company wide scope, shaping how data is ingested, modelled, governed, and consumed across Skipton. You’ll collaborate closely with Data Platform, Architecture, Data Governance, BI & Analytics, Cyber Security, DevSecOps, Quality Engineering, and Risk teams to ensure data is secure, trusted, observable, and fit for purpose.
This is a senior leadership role where your impact is multiplied through standards, Golden Path patterns, and the development of talented Data Engineers across the organisation.
Skipton values work/life balance and we are proud to support hybrid and flexible working, where possible. We have a newly refurbished head office which offers a vibrant and collaborative working space.
We have a range of other benefits available to you including;
As our Principal Data Engineer, you’ll provide both technical and people leadership, acting as a bar raiser for modern data engineering across Skipton. Key deliverables include:
Improving data quality, freshness, lineage, observability, and operational resilience
What Do We Need From You?
We’re looking for an experienced data engineering leader with technical depth and credibility to influence at enterprise scale. You’ll bring:
Deep, hands-on expertise in modern data engineering, such as lakehouse platforms, cloud data architectures, ingestion frameworks, and data modelling with a clear understanding of architectural trade-offs
Proven experience establishing reusable data standards, patterns, and frameworks through greenfield implementations, with adoption driven through delivery rather than documentation alone
Strong knowledge of data governance, security, lineage, metadata, and observability, including how to embed these concerns into platform design rather than layering them on afterwards
