At a Glance
- Tasks: Lead the design and optimisation of high-performing data pipelines on our Databricks platform.
- Company: Join E.ON Next, a top-rated workplace focused on innovation and inclusivity.
- Benefits: Enjoy competitive salary, flexible working, generous leave, and excellent career development opportunities.
- Other info: Be part of an award-winning team that values diversity and supports your growth.
- Why this job: Make a real impact in a data-driven environment while shaping the future of energy.
- Qualifications: 5+ years in data engineering, strong AWS, Databricks, Python, and SQL skills required.
The predicted salary is between 75600 - 92400 £ per year.
At E.ON Next, we're building a data-driven organisation where trusted, high-quality data is at the heart of how we make decisions, serve our customers and deliver our strategy. As a Principal Data Engineer, you'll play a leading technical role in helping us mature and scale our Databricks-based data platform, creating robust, reliable and reusable data solutions that enable analytics, data science and operational decision making.
You'll be a senior technical expert within our Data Team, designing and building high-performing data pipelines and data models that help create a trusted single source of truth across E.ON Next. You'll take ownership of complex engineering challenges, applying strong engineering, governance and architectural principles to deliver production-grade solutions that are scalable, secure and built to last.
Working in a highly empowered environment, you'll provide technical leadership within delivery teams, shape technical approaches and influence engineering decisions. You'll also help raise the capability of the wider team through mentoring, knowledge sharing and championing engineering best practice.
A taste of what you'll be doing:
- Design, build and optimise scalable, high-performing data pipelines and data models within our Databricks platform, continuously improving them as requirements and technology evolve.
- Integrate new data sources using batch and streaming/real-time approaches, ensuring reliable delivery and performance against agreed SLAs.
- Design and improve data quality, reliability and observability processes, helping ensure colleagues can trust the data they use.
- Take ownership of complex engineering problems, using your technical judgement to develop robust, pragmatic solutions aligned to business needs and architectural principles.
- Lead data engineering activity within delivery teams, providing technical direction and ensuring best practice engineering patterns are consistently applied.
- Engage with senior data stakeholders to understand requirements, shape technical solutions and influence technical decisions.
- Contribute to the design and evolution of our data platform, recommending improvements to architecture, pipeline design and engineering approaches.
- Develop and maintain clear documentation across data pipelines and associated systems, ensuring appropriate security, governance and operational standards are embedded.
- Work collaboratively across multi-skilled, cross-functional teams and with external partners to deliver consistent, scalable outcomes.
- Bring strong technical opinions and experience across a range of tools and frameworks, contributing to engineering discussions and helping the team make informed technical decisions.
- Coach, mentor and support other Data Engineers, helping to build technical capability and a culture of engineering excellence, peer review and continuous improvement.
- Work independently with appropriate autonomy and accountability, delivering high-quality solutions in a fast-paced and evolving environment.
Are we the perfect match? We're looking for an experienced Data Engineer who combines deep technical expertise with strong problem-solving skills and the confidence to take ownership of complex engineering challenges. You'll be comfortable working with senior stakeholders, shaping technical solutions and providing technical leadership within delivery teams.
You'll bring:
- At least 5 years' experience as a Data Engineer or in a similar data-focused role, including at least 1 year working as a Senior Data Engineer.
- Strong experience with Amazon Web Services (AWS).
- Strong experience with Databricks and/or Spark.
- Strong Python and SQL skills, with the ability to write production-quality code.
- A solid understanding of cloud-based data engineering design, particularly within AWS.
- Experience designing and delivering data extraction, transformation and aggregation solutions, including large-scale and real-time data where applicable.
- Strong understanding of data modelling, database design and data warehousing concepts.
- Experience designing repeatable, production-quality data pipelines using parameterisation, reusable patterns and engineering best practice.
- An understanding of data governance, data quality and data cataloguing principles and associated tools.
- Experience working with stakeholders to understand requirements and translate them into effective technical solutions.
- A proven ability to take ownership of complex data engineering problems and deliver robust solutions aligned to business needs.
- Strong problem-solving skills, with a structured approach to troubleshooting and root cause analysis.
- Strong attention to detail and a genuine curiosity about data.
- The confidence and adaptability to learn new tools and technologies and work effectively in a fast-paced environment.
- A self-starting approach, with the ability to set goals, take initiative and work with a high degree of autonomy.
It would be great if you had:
- Previous experience with data migration projects.
- Experience coaching or mentoring other Data Engineers and contributing to a culture of best practice and peer review.
- Experience working with streaming or real-time data at scale.
- Experience within the energy sector or another complex, data-rich environment.
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. Excellent parental leave allowance. Award-Winning Workplace - We’re proud to be named a Sunday Times Best Place to Work 2025 and the Best Place to Work for 16–34-year-olds. Outstanding Benefits - Enjoy 26 days of annual leave plus bank holidays, a generous pension, life cover, bonus opportunities and access to 20 flexible benefits with tax/NI savings. Flexible & Family-Friendly - Our industry-leading hybrid and family-friendly policies earned us double recognition at the Personnel Today Awards 2024. We’re open to discussing how flexibility can work for you. Inclusive & Diverse - We’re the only energy company in the Inclusive Top 50 UK Employers. We’re also proud winners of Best Employer for Women and Human Company of the Year—recognising our inclusive, people-first culture. Support at Every Stage of Life - We’re Fertility Friendly and Menopause Friendly accredited, with inclusive support for everyone. Accessible & Supportive - Do you consider yourself as having a disability? As a Disability Confident Employer, we guarantee interviews for disabled applicants who meet the minimum criteria for the role and will make any adjustments needed during the process. Invested in Your Growth - From inclusive talent networks to top-tier development programmes, we’ll support your growth every step of the way. 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. Any questions on the role - please reach out to Eonnext.recruitment@eonnext.com
Principal Data Engineer in Solihull employer: E.ON Next Energy
E.ON Next is an exceptional employer that prioritises innovation and sustainability, making it an ideal place for a Venture Associate to thrive. With a strong commitment to employee growth, flexible working arrangements, and a culture that celebrates diversity and inclusivity, you will be supported every step of the way in your journey to create impactful solutions. Located in vibrant cities like London, Solihull, and Nottingham, E.ON Next offers a dynamic work environment where your contributions directly shape a zero carbon future.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer in Solihull
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We think you need these skills to ace Principal Data Engineer in Solihull
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at E.ON Next Energy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at E.ON Next Energy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at E.ON Next Energy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at E.ON Next Energy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
