Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer

Made Tech Limited
Manchester
1 month ago
Create job alert

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

Key responsibilities

As a Senior Data Engineer, you may assume multiple roles based on our clients' needs. The role is highly hands-on, supporting project delivery as a senior contributor and upskilling client team members. You might also take on a technical architect role, collaborating with the MadeTech team to identify growth opportunities within the account.

You’ll need a drive to deliver outcomes for users, considering the broader context of delivery and maintaining alignment between operational and analytical aspects of the engineering solution.

Skills, knowledge and expertise

We seek candidates with a range of skills and experience; please apply even if you don’t meet all criteria.

  • Enthusiasm for learning and self-development
  • Proficiency in Git (including Github Actions) and understanding of branch strategies
  • Experience gathering and meeting requirements from clients and users on data projects
  • Strong experience in Infrastructure as Code (IaC) and deploying infrastructure across environments
  • Managing cloud infrastructure with a DevOps approach
  • Handling and transforming various data types (JSON, CSV, etc.) using Apache Spark, Databricks, or Hadoop
  • Understanding modern data system architectures (Data Warehouse, Data Lakes, Data Meshes) and their use cases
  • Creating data pipelines on cloud platforms with error handling and reusable libraries
  • Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.)
  • Implementing robust DevOps practices in data projects, including DataOps tools for orchestration, data integration, and analytics
  • Enhancing resilience through vulnerability checks and testing strategies (unit, integration, data quality)
  • Applying SOLID, DRY, and TDD principles practically
  • Agile methodologies such as Scrum, XP, and Kanban
  • Designing and implementing efficient batch and streaming data transformations at scale
  • Mentoring, team support, and line management skills
  • Commercial mindset to grow accounts organically with senior stakeholders

Experience in the following areas is desirable but not essential:

  • Working in a technology consultancy
  • Using Docker and virtual environments in CI/CD
  • Engaging with senior stakeholders for requirements gathering
  • Collaborating with engineers via pair or mob programming
  • Working with data scientists to productionize machine learning models
  • Knowledge of statistics
  • Collaborating across multidisciplinary teams
  • Experience within the public sector

Support in applying

If you need this job description in another format or require support in applying, please email .

We believe technology can improve public services and that diversity within our team enhances this mission. We encourage applicants from underrepresented groups to apply.

We are committed to accessibility and inclusion, offering adjustments for interview processes and welcoming feedback on our candidate experience.

We foster community through Slack channels and communities of practice, covering interests like music, food, pets, and professional development. If you'd like to connect with these groups, please contact a Made Tech talent team member.

Our benefits include flexible schemes like Smart Tech, Cycle to Work, and personalized benefit allowances. We promote connection through social and wellbeing events.

Our popular benefits:

30 days Holiday - paid leave plus bank holidays

Remote Working - part-time remote options

Paid counselling - mental health, legal, and financial advice

Candidates must be eligible for SC security clearance, requiring 5 years of UK residency. If eligibility is not confirmed during the process, we cannot proceed with your application.

Interested?

Join us in using technology to improve society. Our transparent and supportive hiring process guides candidates at each stage, with feedback provided throughout. Shortlisted candidates will be invited for screening. Register your interest to stay updated on relevant roles.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.