Data Engineer

Birmingham
9 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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.