Data Engineer

Data Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Skipton Building Society

At a Glance

  • Tasks: Shape the future of our data platform using cloud technologies and agile delivery.
  • Company: Join the fourth biggest building society in the UK, owned by its members.
  • Benefits: Enjoy competitive salary, generous leave, private medical insurance, and training opportunities.
  • Other info: Embrace a culture of experimentation with excellent career growth opportunities.
  • Why this job: Make a real impact on data solutions while working in a collaborative environment.
  • Qualifications: Experience in Azure Data solutions and a passion for technology and innovation.

The predicted salary is between 60000 - 80000 £ per year.

Hours: 35 hrs Hybrid Working (3 days a week)

Closing Date: Tue, 7 Jul 2026

Overview

We're looking for a talented Data Engineer to help shape the future of our data platform. If you’re passionate about cloud technologies, agile delivery and creating real value through data, this could be the perfect role for you!

Who Are We?

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.

What Will You 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. 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.

Qualifications

  • 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
  • Source control systems, such as Git
  • 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 & support colleagues, leveraging their experience & knowledge.

Benefits

  • 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
  • A commitment to training and development
  • Private medical insurance for all our colleagues
  • 3 paid volunteering days per annum
  • Diverse and inclusive colleague networks available for you to join
  • Cycle to work initiative and discounted gym membership

Data Engineer employer: Skipton Building Society

Skipton Building Society is an exceptional employer that prioritises the growth and well-being of its employees while fostering a collaborative and innovative work culture. With a strong commitment to training and development, generous annual leave, and a focus on diversity and inclusion, Skipton offers a supportive environment where Data Engineers can thrive and contribute to meaningful projects that enhance customer experiences. Located in the heart of the UK, this mutual organisation empowers its colleagues to make a real impact without the pressures of shareholder expectations.

Skipton Building Society

Contact Details:

Skipton Building Society Recruitment Team

We think you need these skills to ace Data Engineer

SQL
Problem-Solving Skills
Python
Communication Skills
Data Engineering
Data Pipeline Development
API Integration