Senior Data Engineer, SEO, Perm, Liverpool/ Newport
Role Overview
The Senior Data Engineer designs, builds and maintains data pipelines, integrations and processing services supporting operational systems and analytical data.
The role applies data engineering and modelling practices to create structured, reusable and well-governed data.
The role contributes to developing the Commission's Azure data platform, including Synapse and layered data architecture approaches.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Data Engineer designs, builds and maintains data pipelines, integrations and processing services supporting operational systems and analytical data.
The role applies data engineering and modelling practices to create structured, reusable and well-governed data.
The role contributes to developing the Commission's Azure data platform, including Synapse and layered data architecture approaches.
Key responsibilities
- Build, test and maintain scalable data pipelines and processing solutions.
- Implement secure, efficient and maintainable Azure data ingestion and integration patterns.
- 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 teams on best practice.
- Resolve data issues, identify root causes and implement preventative measures.
- Monitor and optimise pipeline and storage performance, reliability and cost.
- Create data flows and transformations, including SQL logic, stored procedures and views.
Essential abilities
- Diagnose complex data issues and deliver robust solutions.
- Collaborate with engineers, analysts, architects and service teams.
- Explain data engineering concepts to technical and non-technical stakeholders.
- Maintain data quality, accuracy and reliability through attention to detail.
- Provide technical leadership through design guidance, code and pipeline reviews, and adherence to standards.
Essential experience and technical skills
- Build cloud data pipelines using platforms such as Azure Synapse, Data Factory or Databricks.
- Develop performant SQL transformations and ELT patterns; work with relational and/or big data technologies.
- Use CI/CD, version control and automated testing in data engineering workflows.
- Support data 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.
- Infrastructure-as-code, DevOps and monitoring familiarity; Python, PySpark or similar languages are desirable.
Location and working pattern
- The role is listed at Bootle or Newport.
- The advertised working patterns include flexible working, full-time, part-time and compressed hours.
Salary and benefits
- Salary is £44,027.
- The Civil Service Pension has an employer contribution of 28.97%.
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