National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Energy Migration Senior Data Engineer (6-month contract)

Utility Warehouse
London
4 days ago
Create job alert

Energy Migration Senior Data Engineer (6-month contract)

Contract Employment Status: Contractor

Company Description

Hello, we're UW

We’re a bunch of great people working together, solving problems and having fun. Together, we strive to find solutions to help the great people around us get on with the things that really matter in life.

How? It’s simple, we take the headache out of essential home services by providing them all in one place – energy, broadband, mobile, and even insurance. That’s one provider, one account, one bill, and lots of savings.

We’re a truly unique FTSE 250 company with a business model that has real social impact at the heart of it. Being a part of the UW community you’ll join a working environment like no other - one where everyone matters - be it our customers, our partners or you, our people.

The challenge

We are seeking an experienced Data Engineer to assist with the migration of our Energy Portfolio data from a legacy application to Gentrack Junifer. This is an exciting opportunity to contribute to a major data migration project in an award winning energy provider and UK FTSE 250 company.

Please note that this is a fixed term contract, initially for 6 months starting in August/ September. We can consider fixed term or day rate contract - please indicate your preference in your application. 

Who you’ll be working with

You’ll be working with your fellow Data Engineers, Software Engineers, Data Analysts, the Data Leadership team, Energy Industry Experts, Product and Programme Managers, and our third party platform provider. Most Data Engineers are fully remote and convene in our Farringdon office when it makes sense to co-locate and have some face to face time.

We deliver progress. What you’ll do and how you will make an impact.

What you’ll be doing

Designing and building scalable, reliable and robust data pipelines to acquire, ingest, and process data from multiple sources.

Data modelling - bringing a structure to raw data that is aligned with business requirements and objectives.

Maintaining a data product mindset - what needs to be improved next?

Helping to create clarity by reducing unnecessary complexity.

Partner with stakeholders to understand their needs and build impactful analytics solutions.

Evaluating and proposing multiple approaches to a problem, identifying the wider business implications of each.

Curating existing data.

Providing support to Data Analysts.

Contributing to cross-functional problem-solving sessions.

What we are looking for

Essential

Experience of data warehousing and building ELT pipelines.

Experience working on successful, complex migration projects.

Experience writing high quality and maintainable code resulting in solid and reliable software.

Strong SQL and data modelling skills.

Strong analytical and problem solving skills.

Comfort with design, creation and management of complex datasets and data systems.

Ability to continually optimise and improve data pipelines.

Strong interpersonal skills including team working, knowledge sharing and helping to create a positive culture.

Ability to organise own workload in coordination with the team and stakeholders.

Experience of cloud data warehouses such as BigQuery or Snowflake.

Experience of cloud data warehouse transformation tools such as dbt or Dataform.

Beneficial

UK Energy industry experience

Exposure to Gentrack Junifer.

Working knowledge of Data Vault 2.0 modelling principles.

Ability to write code in Python or other languages commonly used to process data.

Infrastructure as Code (. Terraform) and GitOps methods.

Experience working with containerised platforms . Kubernetes.

Experience of working on a cloud-native data ecosystem, ideally GCP.

Related Jobs

View all jobs

Senior Data Engineer

Data Engineer - Microsoft Fabric

Data Engineer - Microsoft Fabric

Data Engineer - Microsoft Fabric

Data Engineer

Data Engineer

National AI Awards 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 to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.