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Data Engineer

Skipton Building Society -
Skipton

Apply Now

Job details

Full-time
1 day ago

Benefits

Cycle to work scheme
Annual leave
Company pension
Discounted gym membership
Private medical insurance
Paid volunteer time
Car scheme

Qualifications

Data modelling
Azure
Cloud architecture
Spark
Data analysis skills
Git
SQL
Analysis skills
Release management
Agile
IT
Data warehouse
Python

Full job description

Hours:

35 hrs
Hybrid Working (3 days a week)

Closing Date:

Tue, 7 Jul 2026

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.

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 organization'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 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.
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.
As the UK tech industry booms, this diverse sector is alive with career potential.

What Do 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 m aintaining 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
Experience with 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

What’s in it for you.

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;
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
We care about your health and wellbeing – we provide a range of benefits that support this including cycle to work initiative and discounted gym membership

Apply Now

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