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

Nominate & Attend

Lead Data Engineer

Good Energy
Chippenham
5 days ago
Create job alert

Description


No day will be the same - here are some of the highlights

We have an exciting opportunity for a senior, hands-onLead Data Engineerto join the Good Energy data team. Reporting to the Head of Data, you will take full ownership of designing, implementing, and maintaining complex data systems and solutions, ensuring they are scalable, efficient, and aligned with business objectives. You’ll drive data initiatives from conception to delivery, working independently to manage projects while collaborating closely with business analysts, BI analysts, testers, solution analysts, and fellow engineers. Your contributions will help ensure our data solutions meet business requirements and integrate seamlessly into the wider Good Energy data ecosystem. 
 
In the role, you’ll set the standard for best practices in coding, data quality, and solution design, while mentoring and upskilling the team, especially in Databricks and CI/CD. You’ll drive the adoption of modern development workflows, ensuring reliable, scalable deployments. Your leadership will foster a culture of continuous improvement and play a key role in shaping our data infrastructure and growing the team’s capabilities.

Key Responsibilities: 


  • Design and implement data solutions:Lead the design, development, and optimisation of data pipelines, data models, and data architecture, ensuring scalability, performance, and reliability across the organization. 

  • Collaboration with cross-functional teams:Work closely with data team members, technology teams, and business stakeholders to ensure data solutions align with Good Energy’s objectives and strategy. 

  • Driving best practices:Champion best practices for data engineering, including coding standards, data quality, data security, and documentation, ensuring consistency and maintainability across projects. 

  • Team member support:Provide technical support and guidance to the data team, creating a collaborative, learning-driven environment that encourages team development. 

  • End-to-end ownership:Manage the lifecycle of data projects and pipelines, from design and delivery through to monitoring and troubleshooting. 

  • Data governance and compliance:Ensure data governance, privacy, and security are prioritized in the design and delivery of data initiatives. 

  • Documentation and knowledge sharing:Maintain documentation for data engineering projects, leading knowledge-sharing efforts within the team to support development and enhance team capabilities. 


What you'll need to succeed

Essentials: 

  • Be the key decision maker on the right technology stack for cloud data processing for the business 
  • Able to demonstrate an ongoing passion to stay up to date with the latest ETL technologies 
  • Lead the design and implementation of scalable, secure, and reliable data solutions on the Azure cloud platform. 
  • Architect data pipelines and ETL/ELT workflows using Azure Data Factory & Azure Databricks. 
  • Advanced SQL knowledge and a strong understanding of data warehousing concepts and data modeling techniques (e.g., star/snowflake schemas). 
  • Experience leading or mentoring team of data engineers, providing technical guidance, code reviews, and best practices. 
  • Lead and mentor a team of data engineers, providing technical guidance, code reviews, and best practices. 
  • Demonstrated ability to work cross-functionally with executives, product teams, and IT. 
  • Familiarity with Agile or Scrum methodologies. 
Desirables:

  • Experience implementing CI/CD pipelines for data solutions using tools like Azure DevOps. 
  • Wider Azure knowledge including SQL Servers, Event Hubs, Log Analytics, and Key Vaults. 
  • Familiarity with areas such as: 
  • Data Governance 
  • Data Science 
  • Data Architecture 
  • AI / Machine Learning 
  • Certifications in cloud platforms (AWS Certified Data Analytics, Microsoft Azure Data Engineer Associate). 
  • Experience in the energy industry 


Benefits you can rely on


Great allowances for hybrid working: 
🏡 £500 work from home allowance - an annual allowance paid monthly alongside your salary to support with working from home costs. 
🚆 £500 travel allowance - an annual allowance paid monthly alongside your salary to support with travelling to work costs. 


📖£500 annual development allowance:To spend on your chosen development area, whether that’s in your current role, or future roles. 

🎁15% annual bonus:company-wide bonus scheme designed to reward collective teamwork and delivery of results across the whole business.


🌞Holiday:25 days annual leave, a day off for your birthday, additional days leave for long service, plus bank holidays. You’ll also have the option to buy additional leave, allowing for a better work-life balance. 
 
💸Ethical Pension with Aviva:Good Energy offers an ethical pension plan provided by Aviva, with employer-matched contributions up to 7.5% of your base salary. 



See more of our benefitshere.
We’re Good Energy. Our aim is to help one million homes and businesses to cut their carbon by 2025 – by becoming a one stop shop for everything green… 


We supply trulyrenewable electricitysourced from over 2,500 independent British generators. We are the only home energy supplier that's aCertified B Corporation, and we are aWhich? Eco Providerfor Energy.  We installheat pumps, an essential tool for getting homes off gas. We support customers to generate and store their own power, by installingsolar panelsandbattery storage. We also developinnovative tariffsto pay small generators fairly for what they export; and to get households involved in balancing the grid too.  


If you’re ready to make combatting the climate crisis your job, and believe in our values of being, fair, straightforward, focused, and inclusive; then we want to hear from you. Let’s power a cleaner, greener future together.  


Find out more about what makes us differenthere.  


Our Commitment
We're a Committed Member of Inclusive Employers and value people’s differences - we recognise the strength that they give us. We work hard to be a supportive community where everyone has equal opportunities and we encourage applications from people irrespective of background, circumstances, age, disability, ethnicity, religion or belief, gender identity or sexual orientation.

Where are we?
Our office is based in Chippenham, Wiltshire and is conveniently located near the train station, providing green travel options for travel, as well as fast connections to Bristol, Bath, Swindon and London. The office is fully accessible, allowing everyone to participate fully in their working lives regardless of any mobility challenges. 


We promote work-life balance and flexibility through hybrid working, which combines both remote and office work. It provides our people with the opportunity to tailor their work schedules to suit their individual needs and preferences while maintaining productivity and engagement. 

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead 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.