Senior Data Engineer (£44,241 - £58,997)

Government Recruitment Service; Leeds; On-site; GBP 60,000 - 80,000; Full time

Job summary

A governmental agency is seeking a skilled data engineer to build, maintain, and optimize scalable data pipelines and platforms in Leeds. Responsibilities include designing ETL pipelines, enforcing data quality standards, and collaborating with various data teams. Candidates should be adept at integrating data sources and automating processes. This role offers the chance to contribute to evidence-based policy through data management, with a focus on security and compliance.

Qualifications

• Experience in designing and operating ETL and streaming pipelines for large datasets.
• Ability to implement data modelling and quality standards.
• Familiarity with CI/CD tools and observability practices.

Responsibilities

• Design ETL and streaming pipelines for diverse datasets.
• Enforce data modelling and quality standards.
• Optimize performance on cloud and on-prem platforms.
• Integrate data sources using APIs and real-time methods.
• Automate deployment and monitoring processes.
• Collaborate to create reusable data products.
• Ensure security and compliance with standards.
• Mentor junior engineers and contribute best practices.

Skills

ETL and streaming pipeline design

Data quality standards enforcement

Cloud platform optimization

API integration

CI/CD automation

Collaboration with data teams

Data security compliance

Mentorship skills

Job description

Build, maintain and optimise scalable, secure data pipelines and platforms that enable analytics, reporting and operational data products across government. Work with data architects, analysts and stakeholders to translate requirements into robust ETL/streaming solutions, ensure data quality and compliance with standards, and drive automation and reuse to support evidence‑based policy and service delivery.

Your responsibilities will include, but aren’t limited to:

• Design, build and operate ETL and streaming pipelines for large, varied datasets.
• Implement and enforce data modelling, lineage and quality standards.
• Optimise storage, processing and query performance on cloud/on‑prem platforms.
• Integrate data sources via APIs, batch and real‑time ingestion methods.
• Automate deployment, testing and monitoring using CI/CD and observability tools.
• Collaborate with analysts, data scientists and product teams to deliver reusable data products.
• Ensure data security, access controls and compliance with government data standards.
• Mentor junior engineers and contribute to engineering best practices and documentation.

For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process.