Senior Data Engineer - Hybrid Data Platform (Public Sector)

Made Tech Group; West of England, Manchester, Greater London; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Remote Working

Flexible Working Hours

Job summary

Made Tech is seeking a Senior Data Engineer to work on public sector data projects with a hands-on and architectural focus. The role combines delivering engineering work and mentoring client teams to uplift capabilities, while aligning operational and analytical aspects of data solutions.

Based in the UK with hybrid working in Bristol, Manchester, or London, the position emphasizes data platforms, DevOps, and modern data architectures to drive value for clients.

Qualifications

• Experience delivering data platforms for public sector or similar environments.
• Strong cloud data processing and architecture knowledge.
• Ability to document end-to-end data processing diagrams (C4, UML).
• Proven DevOps mindset in data projects and automation.
• Familiarity with Agile practices (Scrum/Kanban).
• Mentoring and upskilling client teams.

Responsibilities

• Deliver hands-on data engineering work on client projects.
• Upskill members of the client team.
• Occasionally act as a technical architect to identify growth opportunities.
• Maintain alignment between operational and analytical aspects of solutions.
• Help shape clients' data strategy and data platforms.

Skills

Git & CI

IaC

Data Pipelines

Cloud DevOps

Spark/Hadoop

Data Warehouses

Data Lakes

Databricks

DWH Design

Data Mesh

Tools

Docker

Kubernetes

Terraform

Databricks

Jenkins

Job description

Made Tech is seeking a Senior Data Engineer to work on public sector data projects with a hands-on and architectural focus. The role combines delivering engineering work and mentoring client teams to uplift capabilities, while aligning operational and analytical aspects of data solutions.

Based in the UK with hybrid working in Bristol, Manchester, or London, the position emphasizes data platforms, DevOps, and modern data architectures to drive value for clients.