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 analytical data.
The role contributes to the evolution of the Commission’s data platform and provides technical leadership, mentoring, and engineering standards.
Key Skills for This Role
Full Job Posting
Job summary
The Senior Data Engineer designs, builds, and maintains data pipelines, integrations, and processing services for operational systems and analytical data.
The role contributes to the evolution of the Commission’s data platform and provides technical leadership, mentoring, and engineering standards.
Responsibilities
- Design, build, test, and maintain scalable data pipelines and processing solutions.
- Design and implement secure, efficient, 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 engineering best practice.
- Investigate data issues, conduct root-cause analysis, and implement preventative measures.
- Monitor and optimize pipelines and storage for reliability, performance, and cost effectiveness.
- Develop data flows and transformations, including SQL logic, stored procedures, and views.
- Contribute to Azure platform evolution, including Synapse and layered data architecture.
Essential criteria
- Diagnose complex data issues and deliver robust solutions; collaborate across engineering, analytics, architecture, and service teams.
- Explain data engineering concepts to technical and non-technical stakeholders and maintain attention to data quality and accuracy.
- Experience building pipelines with modern cloud platforms such as Azure Synapse, Data Factory, or Databricks.
- Experience with performant SQL transformations, ELT patterns, relational and/or big data technologies, and production data platforms.
- Experience using CI/CD, version control, and automated testing in data engineering workflows.
- Strong SQL and transformation skills, proficiency in Azure data tools, and knowledge of ETL/ELT and integration patterns.
- Familiarity with infrastructure as code, DevOps practices, and monitoring; Python, PySpark, or similar languages are desirable.
Working pattern
- The advert lists flexible working, full-time, part-time, and compressed hours.
Salary and benefits
- Salary is £44,027.
- The advert states that the employer contributes 28.97% toward the Civil Service Pension.
Locations
- The advert lists Bootle, North West England, and Newport, Wales.
Assessment behaviours
Selection assesses Changing and Improving, Delivering at Pace, and Communicating and Influencing.
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