Senior Data Engineer Jobs

Made Tech

Location:
United Kingdom, Bristol ▼
London
Manchester
Swansea

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

60000.00 - 80000.00 GBP / Year

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Job Description:

Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients’ needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders.

Job Responsibility:

Enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients’ needs
Develop, operate, and maintain these services
Provide maximum value to data consumers, including analysts, scientists, and business stakeholders
Play one or more roles according to our clients' needs
Support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team
Play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account
Have a drive to deliver outcomes for users
Make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution

Requirements:

Enthusiasm for learning and self-development
Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
Gathering and meeting the requirements of both clients and users on a data project
Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
Owning the cloud infrastructure underpinning data systems through a DevOps approach
Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them
Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines.
Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.)
To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics.
Experience in improving resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.)
Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project.
Agile practices such as Scrum, XP, and/or Kanban
Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases
Owning the cloud infrastructure underpinning data systems through a DevOps approach
Agile practices such as Scrum, XP, and/or Kanban
People skills such as mentoring, supportive team player and performing line management duties
To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders

Nice to have:

Working at a technology consultancy
Working with Docker and virtual environments as part of the development and CI/CD process.
Working with senior stakeholders to gather requirements and keep them engaged with
Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming.
Working with data scientists to productionise advanced data deliverables, such as machine learning models
Working knowledge of statistics
Working with multidisciplinary digital and technology teams
Working within the public sector

What we offer:

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Part time remote working for all our staff
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Additional Information:

Job Posted:
December 10, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Engineer