At a Glance
- Tasks: Design and build data solutions, ensuring scalable and reliable pipelines.
- Company: Join an award-winning inclusive workplace focused on collaboration and innovation.
- Benefits: Enjoy flexible hybrid working, wellbeing support, and a positive culture.
- Other info: Be part of a supportive team with excellent career growth opportunities.
- Why this job: Make a real impact by solving complex data challenges and delivering high-quality outcomes.
- Qualifications: Experience in data automation, cloud technologies, and strong communication skills.
The predicted salary is between 45000 - 55000 € per year.
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.
Responsibilities
- 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.
- Collaboration
- 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.
Technical Requirements
- 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 & Qualifications
- 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.
- 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.
Benefits
- 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.
Data Engineer in Cardiff employer: Principality Building Society
Join a forward-thinking company that prioritises flexibility and inclusivity, offering a hybrid working model that allows you to balance home and office life while collaborating with a dynamic team in Cardiff. With a strong commitment to employee wellbeing and continuous growth, you'll thrive in an environment that values your contributions and supports your professional development, all while being part of an award-winning organisation recognised for its customer excellence and inclusive culture.
Contact Detail:
Principality Building Society Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Cardiff
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at events. Ask them about their experiences and the company culture. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects. We want to see how you tackle data problems, so show us your thought process!
✨Tip Number 3
Don’t forget to showcase your soft skills! Collaboration and communication are key in our team. Be ready to share examples of how you've worked with others to solve complex data challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team. We can't wait to see what you bring to the table!
We think you need these skills to ace Data Engineer in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with cloud technologies and data pipelines, as these are key for us. Use specific examples that showcase your skills in data automation and collaboration.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our Data Services function. Don’t forget to mention any innovative projects you've worked on that align with our goals.
Showcase Your Technical Skills:We love seeing technical skills in action! Include relevant programming languages like Python or SQL, and any experience with tools like Azure Synapse or Databricks. This will help us see how you can hit the ground running.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Principality Building Society
✨Know Your Data Tools
Familiarise yourself with the cloud technologies mentioned in the job description, like Microsoft Fabric and Azure Synapse. Be ready to discuss your experience with data integration and big-data modelling, as well as any specific tools you've used, such as Python or SQL.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Highlight your experience with troubleshooting data issues and conducting root-cause analysis, as this will demonstrate your analytical mindset and attention to detail.
✨Emphasise Collaboration
Since collaboration is key in this role, think of instances where you've worked effectively within a team. Be ready to share how you’ve communicated technical topics clearly to non-technical colleagues, showcasing your ability to bridge gaps between teams.
✨Demonstrate Continuous Improvement
Discuss your innovative thinking and willingness to learn new tools. Share examples of how you've contributed to improving data quality or platform performance, as this aligns with the company's focus on operational excellence and DataOps culture.
