Data Team Manager

Data Team Manager

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the Commercial Data Team and drive impactful data transformations.
  • Company: Join E.ON Next, a dynamic energy company focused on data-driven solutions.
  • Benefits: Enjoy flexible hybrid working, 26 days holiday, and a generous pension scheme.
  • Why this job: Make a real difference in the energy sector while developing your leadership skills.
  • Qualifications: Experience in the energy sector and a relevant degree in statistics or mathematics required.
  • Other info: Role may close early due to high applications; DBS check required.

The predicted salary is between 48000 - 84000 £ per year.

Are you a thoughtful, driven leader who is excited by the opportunity to shape the future of energy through data? We are 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 will 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 are 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 will 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 will be joining a dynamic and growing business where data is at the heart of everything we do. You will 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).
  • Tools: Git (GitHub/GitLab), DataBricks, AWS services (inc. Athena/Glue, S3, SageMaker, Lambda, Transcribe, EC2) & Tableau.
  • Datastores: Postgres, DataBricks, Parquet/Delta.

Here’s what else you need to know:

  • Role may close earlier due to high applications.
  • Competitive salary.
  • 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.

Data Team Manager employer: E.O.N Worldwide

E.ON Next is an exceptional employer that prioritises the growth and well-being of its employees while driving innovation in the energy sector. With a flexible hybrid working environment, generous benefits including 26 days of holiday plus bank holidays, and a commitment to diversity and inclusion, we empower our team members to thrive both personally and professionally. Join us in London or Nottingham, where you'll have the opportunity to lead impactful data transformations and develop your skills in a supportive and collaborative atmosphere.
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Contact Detail:

E.O.N Worldwide Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Team Manager

✨Tip Number 1

Make sure to highlight your experience in the energy sector during networking opportunities. Attend industry events or webinars where you can connect with professionals in the field and discuss your insights and experiences.

✨Tip Number 2

Familiarise yourself with DataBricks and other technologies mentioned in the job description. Consider taking online courses or tutorials to deepen your understanding, as this will help you speak confidently about your technical skills during interviews.

✨Tip Number 3

Prepare to discuss specific examples of how you've led data transformations in previous roles. Think about the challenges you faced, the strategies you implemented, and the results achieved, as these stories will resonate well with the hiring team.

✨Tip Number 4

Showcase your leadership style by sharing how you've developed and empowered teams in the past. Be ready to explain your approach to fostering a supportive and inclusive environment, as this aligns closely with the values of the role.

We think you need these skills to ace Data Team Manager

Leadership Skills
Data Strategy Development
Stakeholder Engagement
Data Transformation Expertise
Data Literacy Promotion
AI/ML Implementation
Data Modelling
Communication Skills
Project Management
Energy Sector Knowledge
DataBricks Proficiency
Python Programming
SQL Proficiency
Spark (PySpark, SparkSQL) Knowledge
Commercial Acumen in Energy Markets
Team Development and Mentoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in the energy sector and any relevant data management roles. Use specific examples that demonstrate your ability to create business value through data.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and its impact on the energy sector. Discuss how your leadership style aligns with the company's values and how you can contribute to their data strategy.

Showcase Relevant Skills: Emphasise your hands-on knowledge of DataBricks and any experience with AI/ML. Mention your familiarity with tools like Python, SQL, and Tableau, as well as your ability to communicate complex insights clearly.

Highlight Team Development Experience: Since the role involves leading and developing people, include examples of how you've successfully built high-performing teams and fostered a supportive environment in previous positions.

How to prepare for a job interview at E.O.N Worldwide

✨Showcase Your Energy Sector Experience

Make sure to highlight your previous roles and achievements within the energy sector. Discuss specific challenges you've faced and how you overcame them, as this will demonstrate your understanding of the industry's nuances.

✨Communicate Clearly with Stakeholders

Prepare to discuss how you've engaged with senior stakeholders in the past. Use examples that showcase your ability to communicate complex data insights in a clear and compelling manner, ensuring they understand the value of your work.

✨Demonstrate Your Data Transformation Skills

Be ready to talk about your hands-on experience with data transformation programmes, particularly using DataBricks. Share specific projects where you've successfully implemented data roadmaps and the impact they had on the organisation.

✨Emphasise Team Development and Culture

Discuss your approach to building high-performing teams and fostering a supportive environment. Share examples of how you've empowered team members and nurtured a culture of self-service and data literacy.

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