Senior Data Engineer, SEO, Perm, Liverpool/ Newport
Role Overview
The Senior Data Engineer designs and maintains pipelines, integrations and processing services for operational systems and the analytical data estate.
The role contributes to the Commission's data platform and promotes reusable, well-governed data and consistent engineering practices.
The job is permanent; the posting lists flexible working, full-time, part-time and compressed-hours patterns.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Data Engineer designs and maintains pipelines, integrations and processing services for operational systems and the analytical data estate.
The role contributes to the Commission's data platform and promotes reusable, well-governed data and consistent engineering practices.
The job is permanent; the posting lists flexible working, full-time, part-time and compressed-hours patterns.
Responsibilities
- Design, build, test and maintain scalable data pipelines and processing solutions.
- Implement secure, efficient and maintainable ingestion and integration patterns across Azure services.
- Develop models for analytical and operational use with analysts and architects; build data flows and SQL transformations, stored procedures and views.
- Contribute to the Azure data platform, including Synapse and layered data architecture where appropriate.
- Improve coding conventions, design patterns and engineering standards across services and pipelines.
- Mentor engineers, review code and pipelines, and guide teams on engineering best practice.
- Diagnose data problems, perform root-cause analysis and implement preventative measures.
- Monitor and optimise pipelines and storage for reliability, performance and cost-effectiveness.
Essential criteria and technical experience
- Experience designing and building pipelines on modern cloud data platforms such as Azure Synapse, Data Factory or Databricks.
- Experience developing performant SQL transformations and ELT patterns and working with relational and/or big data technologies.
- Experience with CI/CD, version control and automated testing, and supporting platforms across environments including production.
- Strong SQL and data transformation skills; proficiency in Azure tools such as ADF, Synapse, Delta Lake or Data Lake Gen2.
- Knowledge of ETL/ELT principles and data integration patterns; infrastructure-as-code, DevOps and monitoring familiarity is also described.
- Python, PySpark or similar language experience is desirable.
- Able to solve complex technical problems, collaborate across disciplines, communicate to varied audiences and ensure data quality.
- Provide technical leadership by guiding design, reviewing code and pipelines, and aligning delivery with agreed standards and architectural guardrails.
Behaviours assessed
- Changing and Improving.
- Delivering at Pace.
- Communicating and Influencing.
Location and working pattern
- The posting lists Bootle, North West England, and Newport, Wales, as work locations.
- Flexible working patterns include full-time, part-time and compressed hours; no specific remote, hybrid or onsite policy is stated.
Salary and benefits
- The posting states salary of £44,027 and a Civil Service Pension with an employer contribution of 28.97%.
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