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

Apply Now

Senior Data Engineer

Made Tech Limited
Swansea
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 – SC Cleared

Senior Data Engineer/ Scientist

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.