{"id":131660,"url":"https://alion.io/job/octopus-energy-data-engineer","title":"Data Engineer","company":{"id":2332,"name":"Octopus Energy","domain":"octopus.energy","url":"https://alion.io/company/octopus-energy","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":52,"ghost_share":0.038,"stale_share":0.846,"repost_share":0.058,"time_to_fill_p50_days":41,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":149000,"period":"year","method":"role_country_seniority_unknown","sample_n":202},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"HTMX","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-08-27T10:38:28Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-11-03T20:24:48Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":67},"description":"Help us make a big green dent in the universe. We're on a mission to drive the global renewable energy revolution, and we need many more people to help us make our vision a reality.\nOctopus Energy Generation (OEGEN) is a leader in sourcing, investing in, and managing a wide range of utility-scale renewable energy assets. As we continue to expand our investment base, we are dedicated to building a diverse team that reflects the communities we serve. Currently, we manage a global portfolio of over £8 billion in renewable energy assets.\nWe are committed to delivering best-in-class responsible investment activity, offering like-minded investors the means and products to invest their capital sustainably. It is our ambition to change the entire energy lifecycle and make every green electron matter, delivering the best outcomes for customers, investors, the environment and society, accelerating the transition to net zero.\nOEGEN Data, Tech & Transformation Team\nWe are embarking on a comprehensive transformation program designed to drive significant advancements in our business operations and technology landscape. Our primary goal is to transition from our current reliance on legacy systems and specialized off-the-shelf tools to a more integrated, AI-driven, and data-centric operational model.\nLeveraging insights and guidance from our other technically mature entities like Kraken and OE, we plan to adopt cutting-edge tools and capabilities, particularly in AI and Python-driven solutions.\nBy investing in a diverse range of skills, we aim to create a hybrid team capable of operating in both our legacy and future environments, ultimately transforming OEGEN into an efficient, data-driven organization.\nAbout the role\nWe’re looking for a Data Engineer who can own the journey of data from source systems to decision-ready outputs. You’ll build and maintain pipelines, model data, stand up dashboards, and integrate systems via APIs. In a team this size, you’ll also get involved in application development - building internal tools with Streamlit, FastAPI, or HTMX that put data directly in the hands of our investment and asset management teams.\nIn your first 3 monthsyou’ll have taken ownership of at least one critical pipeline from an external system into Databricks, and built or materially improved a reporting layer used by Fund Management or Asset Management.\nWhat you'll do\nDesign, build, and maintain scalable data pipelines in Databricks, ensuring data is reliable, timely, and well-documented.\nOwn and evolve our Databricks models - define schemas, enforce testing, and keep the warehouse clean.\nAutomate manual data processes using Python, replacing spreadsheets and ad-hoc workflows with robust, repeatable jobs.\nBuild performance dashboards and reports in Streamlit and HTMX (FastAPI) that Finance, Asset Management, and Fund Management actually use.\nIntegrate internal and third-party systems via REST APIs, improving data accessibility across the business.\nChampion data quality - implement validation, monitoring, and governance practices that give stakeholders confidence in the numbers.\nCollaborate directly with non-technical teams to understand their problems and translate them into data solutions.\nWhat you'll need\nStrong SQL and Python skills, used daily for pipeline development, data modelling, and automation.\nExperience with modern data stack tooling: a cloud data platform (Databricks preferred), and version control (Git/GitHub).\nA solid understanding of data modelling, warehousing patterns, and ETL/ELT design.\nTo be comfortable working with Postgres or similar relational databases.\nClear communication - you can explain a data model to a fund manager and discuss trade-offs with an engineer.\nA bias toward shipping: you’d rather get something working and iterate than spend weeks in design.\nBonus points for\nFull-stack development experience - particularly with Streamlit, FastAPI, or HTMX.\nExperience building and managing REST APIs, including authentication, rate limiting, and documentation.\nFamiliarity with renewable energy, infrastructure investment, or financial services data.\nExperience evaluating and adopting AI/ML tooling to augment engineering workflows.\nWhy else you'll love it here\n Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!\n Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recordeda podcast about our culture and how we empower our people. 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