Data Engineering Manager

Retail (Gazprom Energy)



We are looking for a Data Engineering Manager. You’ll have 3 engineers working for you, and your remit will include operational and project work and management of the team

About us

Our History

A small, independent gas supplier in the North West of England, Pennine Natural Gas was how we began. But we are always reaching for better. Since joining the Gazprom Group in 2006 and becoming Gazprom Energy we have gone from strength to strength becoming one of the leading B2B gas suppliers in the UK and expanding into France and Netherlands. We now supply over 60,000 business customers at close to 100,000 sites across Europe.

Manchester is home to our European headquarters and our locations are united by our ethos: making customers happy, doing the basics brilliantly and finding new ways to go above and beyond their expectations.

Our Future 

The energy world is changing, driven by forces of decarbonisation, competition, digitalisation and customer expectations. Our strategy over the next few years responds to these big changes. This means always reaching for better for our customers, for our business and for ourselves as individuals.

We have an ambitious growth strategy that builds on our strengths – our culture, our people and our brand. We are growing in Electricity, in Green and in Gas. We’re strengthening our foundations – our systems and our behaviours. Big things are happening at Gazprom Energy – and we’re looking for talented people comfortable with data and digital technologies to join us on this journey.

Our culture is defined by our people and Gazprom Energy is a place where you can be yourself. We are friendly, enthusiastic, helpful and purposeful. We encourage everyone to have a learning mindset, challenge respectfully, have a bias for action and to make evidence-based decisions.  In return you can expect to receive the right mix of challenge and support for your role, your wellbeing and ambitions.

Since 2012 we have been accredited with the Investors in People Gold standard and are very proud of our track record developing and promoting internal talent. So, if you are one of those people who never likes to settle and enjoys being empowered to find creative ways to improve, then Gazprom Energy might be the place for you.

Role objectives

We are looking for a Data Engineering Manager. You’ll have 3 engineers working for you, and your remit will include operational work (e.g. deployment, reviewing pull requests, fixing bugs), project work (e.g. reviewing existing codebase and planning upgrades, building a new application), and management (e.g. 1:1s, performance reviews, setting rotas). Initially you will be working closely with the Forecasting team, and the codebase will be focused on producing accurate & timely forecasts ; you will also have the opportunity to expand the remit of the team and work on value-adding projects.

You will be using Python and GIT

Duties & Responsibilities

  • Manage a team of data engineers, with full line manager duties including 1:1s, team meetings, performance reviews, recruitment, and training
  • Take responsibility for operational processes. This includes:
    • Monitoring if all production processes completed ok
    • Working with the team to resolve if not (delegating work, helping to investigate problem, and design a solution)
    • Planning & implementing code improvements to operational systems (e.g. data quality checks to prevent errors)
  • Take responsibility for engineering projects, including requirements, planning, implementation, and testing
  • To be aware of and comply with all company policies and procedures, including but not limited to the Gazprom Energy Data Protection policy, Equal Opportunities policy, and the Email and Internet Acceptable Usage Policy, in addition to Fire and Health and Safety Regulations.

You may also be required to carry out any other duties within the scope and purpose of this role as requested by your line manager and in line with business needs.

Skills & Competencies

  • Managerial skills, including:
    • Organization
    • Defining goals
    • Training/coaching/developing team
    • Communication (with engineers, with business users)
    • Motivating people

Work ethic, attention to detail


  • Strong programming in Python
  • Application design & analysis
  • Codebase management, including GIT and documentation
  • Strong maths, with intermediate understanding of regression/clustering
  • Desirable: Expertise/experience of machine-learning, and working with data scientists


Degree level or equivalent in computer science or STEM field

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