Data Engineer

Job Overview 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. #J-18808-Ljbffr