Data Engineer

BELONG – There’s no place like Principality

At Principality, belonging isn’t just a value — it’s how we work. When you join us, you’re welcomed into a supportive, inclusive community where your home life, wellbeing, and individuality are genuinely respected. From flexible ways of working to benefits designed around you, we’re committed to helping you feel comfortable, valued, and able to thrive.

We believe great work happens when people feel connected — to each other, to our purpose, and to the communities we serve. That’s why we encourage balance, invest in wellbeing, and focus on growing and improving together.

Why join us?

There are plenty of reasons to build your career with Principality:

• Flexible hybrid working – Our award-winning approach gives you the flexibility to work from home and from the office. Collaboration matters to us, so you’ll spend at least 8 days per month based in our Cardiff office.
• A truly inclusive workplace – Proudly named in the 2025 Inclusive Top 50 UK Employers List, ranked 27th, recognising our ongoing commitment to inclusion and belonging.
• Customer excellence you can be proud of – Winners of Double Gold Awards for Customer Satisfaction at the Fairer Finance Awards 2025 for both Savings and Mortgages.
• Engaged, supported colleagues – Our colleague engagement scores consistently exceed 85%, reflecting a positive and supportive culture.
• Wellbeing at the heart of what we do – Our Belong benefits package is designed to put our people first, supporting your physical, mental, and financial wellbeing.

These achievements reflect more than awards — they represent our long-term commitment to creating a workplace where colleagues feel supported and customers feel cared for.

When it comes to belonging, there truly is no place like Principality.

We’re looking for a proactive and curious Data Engineer to join our growing Data Services function. You’ll play a key role in shaping, developing, and maintaining our modern cloud‑based Data & Analytics platform—helping us unlock powerful insights and create meaningful value for colleagues and customers.

What you’ll be doing

Data Engineering & Pipeline Development:

• Design, build and test data solutions to prepare structured and unstructured data
• Develop automated, efficient pipelines for regulatory, analytics and warehousing use
• Ensure solutions are scalable, reliable, and include built-in monitoring, alerting and error handling
• Take ownership of data pipelines from development through to production support

Data Analysis, Profiling & Modelling:

• Conduct data profiling and source‑system analysis
• Integrate multiple data sources into conformed models for analysis (e.g. star schema, conformed dimensions)
• Implement and manage Slowly Changing Dimensions (Type 2) where required
• Help colleagues access transparent and trustworthy insights

Contribute to Our DataOps Culture:

• Champion best practices in automation, testing, and operational excellence
• Work with metadata, lineage and governance frameworks to improve data visibility and control
• Help ensure our services run efficiently with clear metrics, service performance monitoring, and continuous improvement

Tools, Platforms & Technology Ownership:

• Support onboarding and monitoring of data processes across environments
• Drive improvements in data quality, reliability and platform performance
• Help align technology roadmaps with business and IT strategy

Who you’ll work with

You’ll collaborate closely with:

• Data Platform Lead – sharing updates to support informed decisions
• Senior Data Engineer – receiving direction, coaching and feedback
• Data Platform Team & Data Services Teams – working together to deliver high‑quality solutions

What you’ll bring

Technical Skills

We’re looking for experience in:

• Cloud technologies such as Microsoft Fabric (preferred), Azure Synapse, Databricks, Snowflake or similar
• Data integration and big‑data modelling (medallion architecture, dimensional modelling)
• API, batch or streaming pipelines
• Languages such as Python, R, SQL, or tools like SSIS
• Data quality tools (e.g., Experian Pandora or similar)
• Metadata management / data lineage tools (e.g., Collibra, Informatica)
• Working with varied datasets—customer, transactional, digital, financial, etc.

Experience:

• Practical experience with data automation and DataOps principles
• Understanding of legacy and modern data ecosystems
• Experience with automated testing, including regression testing
• Experience troubleshooting data issues and conducting root‑cause analysis

Competencies:

• Strong attention to detail
• Adaptability and willingness to learn new tools
• Innovative thinking and continuous improvement mindset
• Clear communication skills, especially when explaining technical topics
• Collaborative approach and accountability for delivery

If you enjoy solving complex data challenges, building robust data pipelines, and collaborating across teams to deliver high‑quality outcomes, we’d love to hear from you.

We reserve the right to close this vacancy early should we receive a high volume of applications.

If you have any questions in relation to this role, please contact the recruitment team at -recruitment@principality.co.uk

‘’We are passionate about creating an inclusive workplace where diversity is celebrated and where colleagues feel a sense of belonging’’ Nigel Taylor – Head of Brand, Impact & Communication. But don’t just take our word for it, see what our colleagues say about working here too; Careers (principality.co.uk)

Read all about us - Principality Building Society: Posts | LinkedIn