Data Management Team Lead

E.ON Next; Nottingham; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

Join E.ON Next as a Data Management Team Lead, where you will leverage your energy sector expertise to lead a team that drives impactful data transformations. You'll work closely with stakeholders to enhance data literacy and create innovative data solutions while fostering a supportive team environment.

Benefits

26 days holiday plus bank holidays

Generous pension scheme

Flexible benefits package

Qualifications

• Proven track record in the energy sector driving business value through data.
• Hands-on experience with data transformation programs.
• Ability to shape and deliver data roadmaps.

Responsibilities

• Lead and manage a team focused on data transformation.
• Develop and implement a comprehensive data strategy.
• Engage with senior leaders to align data insights with business goals.

Skills

Data literacy

Stakeholder engagement

Data transformation

Communication

Education

Relevant degree in statistics, mathematics, or a related field

Tools

DataBricks

Python

SQL

Spark

Job description

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Join to apply for the Data Management Team Lead role at E.ON Next

Are you a thoughtful, driven leader who’s excited by the opportunity to shape the future of energy through data? We’re looking for a compassionate and strategic Data Team Manager to lead our Commercial Data Team. Someone who thrives in collaboration, brings energy sector experience, and is passionate about growing people as much as delivering results. In this role, you’ll partner closely with the business to help us stay ahead in a dynamic commodity market, lead on key data transformations, and ensure our insights make a real difference across the organisation.

Energy experience is essential for this role we’re seeking someone who truly understands the unique challenges and nuances of the sector and is ready to make an impact from day one.

Here’s a taste of what you’ll be doing:

• Build trusted relationships as a key business partner, confidently engaging senior stakeholders while providing clarity and direction
• Shape and lead the delivery of the data roadmap, carefully balancing urgent needs with long term goals
• Empower teams across the organisation by lifting data literacy and nurturing a self-serve culture
• Guide your team through a data transformation journey, creating a reliable single source of truth using DataBricks
• Develop and scale meaningful data models, including AI/ML opportunities, that unlock tangible value for our customers and business
• Champion and manage impactful, reliable data products that support commercial decision making
• Contribute to our broader data strategy, collaborating with the leadership team to focus on value, growth and people
• Create a supportive, inclusive environment for your team where everyone feels heard, respected and motivated to grow

Are we the perfect match?

• A proven track record of creating business value through data within the energy sector
• Clear and confident communication skills, with the ability to explain insights in a compelling, accessible way
• Comfort working with senior stakeholders and shaping high level data conversations
• Experience creating and delivering data roadmaps with strong prioritisation and impact focus
• A passion for sustainable, well managed data products that make a difference
• Hands on knowledge of DataBricks and experience with data transformation programmes
• A genuine interest in leading and developing people, building happy and high performing teams
• A belief in strong data foundations and pragmatic delivery over perfection
• A relevant degree or equivalent experience in statistics, mathematics, or a related field

It would be great if you had:

• Commercial understanding of energy markets and commodity pricing
• Experience using AI/ML to personalise customer experiences or optimise operations
• A background in developing data-led commercial strategies
• Familiarity working in fast paced, high-autonomy environments
• A natural ability to bring people together around shared goals

This role requires direct energy sector experience – unfortunately, candidates without this background will not be considered. You'll be joining a dynamic and growing business where data is at the heart of everything we do. You'll have the autonomy to lead, space to innovate, and a team who values support, balance and shared success.

Technologies EON Next loves:

• Languages: Python, SQL & Spark (PySpark, SparkSQL)

Here’s what else you need to know:

• Role may close earlier due to high applications.
• Location – London - E.ON Next, 47-53 Charterhouse Street, Farringdon, London, EC1M 6PB
• / Nottingham - E.ON Next office, Trinity House, 2 Burton St, Nottingham NG1 4BX with travel to our other sites when required.
• Working environment: Flexible hybrid working – a blend of in the office and home working.
• 26 days holiday plus bank holidays each year – this includes a guaranteed day off for your birthday if you want it.
• Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years).
• Excellent parental leave allowance.
• The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year.
• We’ve exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career.
• For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider.

We’re committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone.

We realise the best people bring their energy at different times, so we’re happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Management and Information Technology

• Industries

  Utilities

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