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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Principality Building Society - **Location:** Cardiff, UK (Remote available) - **Salary:** £41,761.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Automation of Tests, Big Data, Cloud Computing, Profiling, Data as a Services, Data Cleansing, Information Engineering, Data Infrastructure, Data Integration, Data Profiling, Dataspaces, R (Programming Language), Systems Analysis, Python (Programming Language), Meta-Data Management, Regression Testing, DataOps, SQL Databases, SQL Server Integration Services, Test Data, Unstructured Data, Microsoft Fabric, Data Lineage, Collibra, Data Analytics, Performance Monitor, Star Schema, Data Pipelines - **Published:** July 26, 2026 - **Apply:** https://www.careerjet.co.uk/job/gb51ccc77f403d2e23be25f9562cbb4afe/eaa ## About the Role * 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, * 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. ## Description 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)