At a Glance
- Tasks: Join our team to develop innovative cloud-based data solutions using Azure technologies.
- Company: Fourth largest building society in the UK, owned by its members.
- Benefits: Generous leave, bonus scheme, training opportunities, and private medical insurance.
- Other info: Hybrid working model with a supportive and collaborative environment.
- Why this job: Be part of a transformative journey in data engineering and make a real impact.
- Qualifications: Experience in Azure Data solutions and a passion for technology.
The predicted salary is between 60000 - 80000 £ per year.
Hours: 35 hrs
Hybrid Working: 3 days a week
Closing Date: Thu, 9 Jul 2026
About the Company
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 toward a better future. You’ll be joining our rapidly expanding Engineering team, where you’ll collaborate with talented Data and Software Engineers and engage closely with stakeholders throughout our Technology function and wider business. Your role is pivotal in driving our innovative solutions forward, aligning with our ambitious change agenda. Together, you’ll help shape the organisation’s future by pushing boundaries, and transforming ideas into reality. Join us in this journey of growth, creativity, and collaboration as we set new benchmarks in data engineering excellence. Your contribution is key to our shared success.
What You’ll Be Doing
We are deeply committed to advancing our Data Strategy, embarking on a transformative journey from traditional on‑premises infrastructure to a cloud‑based architecture. Our cloud‑native Data Platform utilises Microsoft Azure technology including Azure Databricks, Azure Data Factory and dbt. We seek an individual with a proven track record in Azure cloud Data Engineering to join our team, contributing their expertise to shape and execute the design and implementation of our cloud‑native platform. Collaborating closely with other Data Engineers and Analysts, as well as colleagues from across the organisation to deliver trusted solutions that meet the Society’s information needs. You’ll play a key role in the Society change hubs and play a pro‑active role in identifying process improvements and generating new ideas that will maximise the value of data for the Society. We embrace a culture of experimentation and constantly strive for improvement and learning. Using Agile techniques, you will regularly deliver incremental enhancements to our products. You will actively participate in design and code reviews, providing direction and mentoring to others. You will do this working in a collaborative, trusting environment, one that encourages diversity of thought and creative solutions that are in the best interests of our customers and colleagues.
What We Need From You
- Experience in the development of Azure Data solutions
- Knowledge of data modelling principles, including common patterns, e.g. star schema, snowflake or data vault
- Experience in implementation end‑to‑end ETL/ELT solutions
- Experience in maintaining and optimising an Enterprise Data Warehouse
- Knowledge of data analysis
- Knowledge of testing and software release management
- Experience in business process and requirements analysis
- Experience of full life‑cycle software development
- Understanding of Agile methodologies
- Experience working with CI/CD tools
Key Technology
- Azure Databricks
- Data Factory
- Storage Key Vault
- Git as source control system
- dbt (Data Build Tool) for transforming and modelling data
- SQL (Spark SQL) & Python (PySpark)
Certifications
- Microsoft Certified: Azure Fundamentals (AZ‑900)
- Microsoft Certified: Azure Data Fundamentals (DP‑900)
You will need to be you – curious about technology and adaptable to new technologies, agile‑minded, optimistic, passionate, and pragmatic about delivering valuable data solutions to customers. Willing to mentor and support colleagues, leveraging their experience and knowledge.
Hybrid Working: 3 days in office per week
What’s in it for you
- Annual discretionary bonus scheme
- 25 days standard annual leave + bank holidays + rising 1 day per year of service to a maximum of 30 days
- Holiday trading scheme allowing the ability to buy and sell additional annual leave days
- Matching employer pension contribution (up to 10% per annum)
- Colleague mortgage (conditions apply)
- Salary sacrifice scheme for hybrid & electric car
- Commitment to training and development
- Private medical insurance for all our colleagues
- 3 paid volunteering days per annum
- Diverse and inclusive colleague networks
- Cycle to work initiative and discounted gym membership
