Senior Data Engineer, SEO, Perm, Liverpool/ Newport
Role Overview
The Senior Data Engineer designs, builds and maintains pipelines, integrations and data processing services for operational systems and the analytical data estate.
The role supports the evolution of the Commission’s data platform through reusable, well-governed data structures and engineering practices.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Data Engineer designs, builds and maintains pipelines, integrations and data processing services for operational systems and the analytical data estate.
The role supports the evolution of the Commission’s data platform through reusable, well-governed data structures and engineering practices.
Key responsibilities
- Build, test and maintain scalable data pipelines and processing solutions.
- Implement secure and maintainable ingestion and integration patterns across Azure services.
- Develop data models for analytical and operational use with analysts and architects.
- Improve engineering standards, coding conventions and design patterns.
- Mentor engineers, review code and pipelines, and guide delivery teams.
- Resolve data issues through diagnosis, root-cause analysis and preventative action.
- Monitor and optimise pipelines and storage for reliability, performance and cost.
- Develop data flows, SQL transformations, stored procedures and views; contribute to the Azure platform and layered architecture.
Essential criteria
- Diagnose complex data issues and deliver robust solutions; collaborate across engineering, analysis, architecture and service teams.
- Communicate technical concepts clearly and maintain data quality, accuracy and reliability.
- Provide technical leadership through design guidance, code and pipeline reviews, and alignment with standards.
- Experience building cloud data pipelines, developing SQL transformations and ELT patterns, and working with relational and/or big data technologies.
- Experience using CI/CD, version control and automated testing, and supporting platforms across environments including production.
- Strong SQL and data transformation skills; proficiency in Azure data tools such as ADF, Synapse, Delta Lake or Data Lake Gen2.
- Knowledge of ETL/ELT and data integration; familiarity with infrastructure as code, DevOps practices and monitoring.
- Python, PySpark or similar languages are desirable.
Working pattern
- The listed working pattern includes flexible working, full-time, part-time and compressed hours.
Salary and pension
- The stated salary is £44,027, with a Civil Service Pension and an employer contribution of 28.97%.
Locations
- The listed locations are Bootle, North West England, and Newport, Wales.
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