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

Apply Now

Data Engineer

Birmingham
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Join Ofwat’s IT Team as a Data Engineer

Office Location: Birmingham (B5 4UA) with hybrid working

About Us

We are Ofwat, the Water Services Regulation Authority, a non-ministerial government department responsible for regulating the water sector in England and Wales. Our work has genuine significance – no other organisation does the work we do. It’s unique and meaningful: keeping our water flowing; ensuring water bills don’t cost a penny more than needed; holding water companies to account. Come and work at the source of everyday life.

The Role

We are offering an opportunity for a talented Data Engineer to join our emerging Data Platform Team. This team is expanding as part of our plans to upgrade and modernise our data platform through Ofwat's dedicated programme – Programme Ocean. Programme Ocean is an ambitious data modernisation programme using cutting edge and evolving technology as we look to maximise the data and bring value added insights to Ofwat. The platform has been built using Microsoft tools – Fabric, Purview and Power Bi.

As Data Engineer, you'll work on both our legacy data platform (Fountain) as well as the new Data Platform, blending the old and new and making sure that there is integrity and the right framework of pipelines and processes to be able to move to the new data platform. Whilst a key part of the role will be to ensure that we continue to support the business on the Fountain platform, the role will be key in helping to migrate to the new platform.

There will be opportunities to work on a range of technologies not just those supporting the Ocean Data Platform but will expand to other Microsoft 365 tools and software that supports other data services across Ofwat, be it those in operation or on new innovation and experimentation initiatives.

You'll work in a small team of Data Engineers, alongside other Digital and IT roles, to bridge the gap between data producers and data users, developing solutions, pipelines, and self-service tools to acquire and transform data, making it available in our new data ecosystem. You will work alongside the Programme Ocean and Data Strategy team to ensure we are delivering on our programme outcomes to migrate to a modern data platform to support our regulatory duties.

To find more details about the role and deliverables please click Apply.

About You

Below are some of the key essential experience, skills & knowledge required for this post:

  1. Software Development Skills: Strong proficiency in Python for data manipulation, scripting, and automation tasks.

  2. Experience in data warehouse methods and techniques, including ETL processes, data modelling and design.

  3. Linux: strong experience with Linux command line and scripting.

  4. Software development experience with data-processing platforms including experience with Microsoft Fabric/Azure Synapse Analytics/Databricks.

  5. Relational Databases/SQL: Deep understanding and hands-on experience with relational databases, including proficiency in SQL for data querying and management.

  6. CI/CD tooling: Practical knowledge of using and configuring deployment tools, such as Azure DevOps (ADO), GitHub, ARM/Bicep.

    Why You Should Join Us:

  • Meaningful Impact: You will be joining a team with a sense of mission at its core aiming to build a lasting legacy for future generations by securing our long-term water resilience.

  • Innovative Work Environment: We embrace agile and new ways of working and have a culture build on trust, flexibility, and collaboration.

  • Development Opportunities: Gain valuable experience and develop your skills in a supportive and dynamic setting.

  • Work-Life Balance: Enjoy the flexibility of working from home combined with the benefits of in person collaboration in our London or Birmingham offices.

  • Fantastic employer pension contribution of nearly 30%.

  • 25 days’ annual leave, increasing to 30 with each year of service, plus bank holidays and an extra 2.5 days of privilege leave.

  • Access to exclusive discounts on a variety of goods and services, including retail outlets, theatre tickets, holidays, insurance, and a gym membership.

  • Fees paid for membership of relevant professional bodies.

  • Up to 3 volunteering days per year.

  • Recognition vouchers scheme rewarding your hard work.

  • Generous shared parental leave and pay supporting your family life.

    Follow the link to Apply for full details about the role, please ensure you have submitted your Applications in full before the below deadline.

    Closing date: 23.55 on 15 June 2025

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.

Jobs

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.

Jobs

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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.