Senior Data Engineer, SEO, Perm, Liverpool/ Newport
Role Overview
The Senior Data Engineer designs, builds, and maintains data pipelines, integrations, and processing services for operational systems and the analytical data estate.
The role helps evolve the Commission's data platform and applies data engineering and modelling practices to support structured, reusable, well-governed data.
The post provides technical leadership, mentoring, and consistent engineering standards across delivery teams.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Data Engineer designs, builds, and maintains data pipelines, integrations, and processing services for operational systems and the analytical data estate.
The role helps evolve the Commission's data platform and applies data engineering and modelling practices to support structured, reusable, well-governed data.
The post provides technical leadership, mentoring, and consistent engineering standards across delivery teams.
Key responsibilities
- Design, build, test, and maintain scalable data pipelines and processing solutions.
- Implement secure, efficient, maintainable data ingestion and integration patterns across Azure services.
- Develop data models for analytics and operational use with analysts and architects.
- Improve engineering standards, coding conventions, and design patterns.
- Mentor data engineers, review code and pipelines, and guide engineering practices.
- Investigate data issues, find root causes, and implement preventative measures.
- Monitor, optimize, and troubleshoot pipelines and storage for reliability, performance, and cost effectiveness.
- Develop data flows and transformations, including SQL logic, stored procedures, and views.
- Contribute to the Azure data platform, including Synapse and layered data architecture.
Essential criteria
- Diagnose complex data issues and deliver robust solutions; collaborate across engineering, analysis, architecture, and service teams.
- Explain data engineering concepts to technical and non-technical stakeholders and maintain attention to data quality and accuracy.
- Experience building data pipelines on cloud platforms such as Azure Synapse, Data Factory, or Databricks.
- Experience with SQL-based transformations, ELT patterns, relational and/or big data technologies, and production data platforms.
- Experience with CI/CD, version control, and automated testing in data engineering workflows.
- 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 patterns; familiarity with infrastructure as code, DevOps, and monitoring.
- Python, PySpark, or similar languages are desirable.
Benefits
- Civil Service Pension with an employer contribution of 28.97%.
Working pattern
- The role offers flexible working, full-time or part-time hours, and compressed hours.
Compensation
- Listed salary is £44,027; the description does not state a pay cadence.
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