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
- Design, build and support scalable data solutions for structured and unstructured data.
- Develop automated pipelines for regulatory, analytics and data warehousing needs.
- Ensure reliability through monitoring, alerting, error handling and production support.
- Perform data profiling and source-system analysis.
- Integrate multiple data sources into analytical models, including dimensional and star-schema designs.
- Manage Slowly Changing Dimensions (Type 2) where required.
- Enable access to trusted, transparent data insights.
- Promote best practices in automation, testing and operational excellence.
- Support metadata, lineage and governance frameworks to improve data visibility and control.
- Drive service performance monitoring and continuous improvement.
- Support onboarding, monitoring and optimisation of data processes.
- Improve data quality, reliability and platform performance.
- Contribute to technology roadmaps aligned with business and IT strategy.
What you'll bring
Technical Skills
- Experience with cloud data platforms such as Microsoft Fabric (preferred), Azure Synapse, Databricks, Snowflake or similar.
- Data integration, big-data and dimensional modelling (including medallion architecture).
- Building API, batch and streaming pipelines.
- Proficiency in Python, SQL, R, or tools such as SSIS.
- Experience with data quality, metadata management and data lineage tools.
- Working with diverse datasets including customer, transactional, digital and financial data.
Experience
- Data automation and DataOps practices.
- Legacy and modern data ecosystems.
- Automated and regression testing.
- Data issue resolution and root-cause analysis.
Competencies
- Strong attention to detail and problem-solving skills.
- Adaptable, curious and committed to continuous improvement.
- Clear communicator able to explain technical concepts effectively.
- Collaborative, accountable and delivery-focused.
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 [email protected]
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