{"id":1364596,"url":"https://alion.io/job/e-on-next-principal-data-engineer","title":"Principal Data Engineer","company":{"id":1792016,"name":"E.ON Next","domain":"eonnext.com","url":"https://alion.io/company/eonnext","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Nottingham, United Kingdom","United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":180000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-28T18:42:04Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"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.\nYou'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.\nWorking 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.\nA taste of what you'll be doing\nDesign, build and optimise scalable, high-performing data pipelines and data models within our Databricks platform, continuously improving them as requirements and technology evolve.\n\nIntegrate new data sources using batch and streaming/real-time approaches, ensuring reliable delivery and performance against agreed SLAs.\n\nDesign and improve data quality, reliability and observability processes, helping ensure colleagues can trust the data they use.\n\nTake ownership of complex engineering problems, using your technical judgement to develop robust, pragmatic solutions aligned to business needs and architectural principles.\n\nLead data engineering activity within delivery teams, providing technical direction and ensuring best practice engineering patterns are consistently applied.\n\nEngage with senior data stakeholders to understand requirements, shape technical solutions and influence technical decisions.\n\nContribute to the design and evolution of our data platform, recommending improvements to architecture, pipeline design and engineering approaches.\n\nDevelop and maintain clear documentation across data pipelines and associated systems, ensuring appropriate security, governance and operational standards are embedded.\n\nWork collaboratively across multi-skilled, cross-functional teams and with external partners to deliver consistent, scalable outcomes.\n\nBring strong technical opinions and experience across a range of tools and frameworks, contributing to engineering discussions and helping the team make informed technical decisions.\n\nCoach, mentor and support other Data Engineers, helping to build technical capability and a culture of engineering excellence, peer review and continuous improvement.\n\nWork independently with appropriate autonomy and accountability, delivering high-quality solutions in a fast-paced and evolving environment.\n\nAre we the perfect match?\nWe'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.\nYou'll bring:\nAt 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.\n\nStrong experience with Amazon Web Services (AWS).\n\nStrong experience with Databricks and/or Spark.\n\nStrong Python and SQL skills, with the ability to write production-quality code.\n\nA solid understanding of cloud-based data engineering design, particularly within AWS.\n\nExperience designing and delivering data extraction, transformation and aggregation solutions, including large-scale and real-time data where applicable.\n\nStrong understanding of data modelling, database design and data warehousing concepts.\n\nExperience designing repeatable, production-quality data pipelines using parameterisation, reusable patterns and engineering best practice.\n\nAn understanding of data governance, data quality and data cataloguing principles and associated tools.\n\nExperience working with stakeholders to understand requirements and translate them into effective technical solutions.\n\nA proven ability to take ownership of complex data engineering problems and deliver robust solutions aligned to business needs.\n\nStrong problem-solving skills, with a structured approach to troubleshooting and root cause analysis.\n\nStrong attention to detail and a genuine curiosity about data.\n\nThe confidence and adaptability to learn new tools and technologies and work effectively in a fast-paced environment.\n\nA self-starting approach, with the ability to set goals, take initiative and work with a high degree of autonomy.\n\nIt would be great if you had\nPrevious experience with data migration projects.\n\nExperience coaching or mentoring other Data Engineers and contributing to a culture of best practice and peer review.\n\nExperience working with streaming or real-time data at scale.\n\nExperience within the energy sector or another complex, data-rich environment.\n\nHere’s what else you need to know:\nRole may close earlier due to high applications.\n\nCompetitive salary\n\nLocation - London - E.ON Next, 47-53 Charterhouse Street, Farringdon, London, EC1M 6PB\n\nExcellent parental leave allowance.\n\nAward-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\n\nOutstanding 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\n\nFlexible & 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\n\nInclusive & 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 -recognisingour inclusive, people-first culture\n\nSupport at Every Stage of Life - We’re Fertility Friendly and Menopause Friendly accredited, with inclusive support for everyone\n\nAccessible & 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\n\nInvested in Your Growth - From inclusive talent networks to top-tier development programmes, we’ll support your growth every step of the way\n\nFor 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\n\nAny questions on the role - please reach out to ","description_format":"text","description_chars":7104,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy & Utilities","Solar Energy","HVAC & Refrigeration"],"lifecycle":[{"event":"open","at":"2026-09-28T01:37:33Z"}],"liveness":{"score":78,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.784,"p_room":1,"age_days":8,"expected_fill_days":24,"reasons":["conf:11","velocity","win:early"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/e-on-next-principal-data-engineer","json_url":"https://alion.io/job/e-on-next-principal-data-engineer.json","meta":{"generated_at":"2026-09-30T04:11:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2824,"day_limit":5000,"remaining_today":2176,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}