{"id":2112727,"url":"https://alion.io/job/polcode-data-engineer-databricks-enterprise-energy-data-platform","title":"Data Engineer (Databricks) | Enterprise Energy Data Platform","company":{"id":1845470,"name":"Polcode","domain":"polcode.com","url":"https://alion.io/company/polcode-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110,"max":150,"currency":"PLN","period":"hour","gross":null,"usd_annual":76000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Azure","optional":true},{"name":"Jira","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-30T09:31:52Z","employer_posted_date":null,"last_verified_at":"2026-09-30T09:31:52Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Remote-first (within Poland) or work from our office in Warszawa\nHi, Polcode here!We’re a global technology partner that values collaboration, ownership, and a practical approach to building software. Our team of almost 100 professionals helps build and improve digital businesses, software platforms, eCommerce stores, websites, apps, and everything in between. And they’re good at it.\nWe’re currently looking for a Data Engineer with strong Databricks experience to join a long-term project in the energy sector. The cooperation is planned until the end of 2027, with an option to extend.\nThe project focuses on developing and continuously improving a modern data platform, with particular attention to data quality, scalable data processes, and providing reliable data for reporting.\nYou’ll work hands-on with Databricks, Python, and SQL, designing and developing data solutions based on a Medallion Architecture and integrating data into an enterprise Data Lake.\n\nWe’re open to experienced Data Engineers at different levels of seniority. What matters most is solid hands-on Databricks expertise and the ability to work independently. If you also bring senior-level experience in areas such as architecture, optimization, access management, and deployment practices, there will be plenty of room to put it to use.\n\nWhy this project is worth your attention:\nLong-term cooperation in the energy sector planned until the end of 2027, with an option to extend\nStrong focus on modern Data Engineering and Databricks\nWork with an enterprise-scale Data Lake and Medallion Architecture\nOpportunity to influence data platform design, performance, and data quality\nHands-on role combining data modelling, ETL/ELT, orchestration, and platform development\nRoom for experienced engineers to contribute to architectural and technical decisions\nAzure and German are nice-to-haves, not entry requirements.\nPerks of being a #Polcoder:\n\nMultisport card, private medical care, life insurance, and meaningful gifts to celebrate important days\nAll the necessary equipment for comfortable work\nProfessional onboarding process\nWe respect your private life - no overtime, no weekend jobs, work-life balance only, promise!\nWork at times that suit your daily rhythm, from the place of your choice\nYour work is appreciated - we believe in the power of feedback, as well as the one you give us.\n\nTL;DR\nData Engineer with strong Databricks experience\nEnergy sector and enterprise data platform\nDatabricks + Python + SQL\nData Lake, Medallion Architecture, ETL/ELT and data modelling\nLong-term cooperation\nB2B: 110–150 PLN/h + VAT.\n\nWe strongly believe that putting people first makes our work better.\nWe encourage you to grow your career, contribute to open source, and follow your passion. We wanna do great things with you! 💜\n\nSounds like a match? Let’s talk!\nIf you feel this is your direction, but don’t meet every single requirement, still reach out. We’d love to hear your perspective and tell you more - Ela is always open for a quick chat.\nZakres obowiązków\nDesign and develop scalable data solutions in Databricks\nIntegrate data into an enterprise Data Lake using a Medallion Architecture\nBuild and maintain data models supporting reporting\nDevelop and orchestrate ETL/ELT processes and data pipelines\nWork with Python and SQL on data transformation and processing\nSupport continuous data ingestion and development processes\nContribute to permissions and access concepts\nWork within multi-tier deployment environments and Quality Gates\nOptimize data processes for better performance, efficiency, and quality\nDocument architectural decisions, processes, and project outcomes\nCollaborate with stakeholders in an agile environment.\nWymagania\nWhat we’re looking for:Several years of commercial Data Engineering experience\nHands-on commercial experience with Databricks\nSolid Python and SQL skills\nExperience with data modelling and ETL/ELT processes\nExperience building and orchestrating data pipelines\nStrong understanding of Data Lake / modern data platform concepts\nUnderstanding of layered data models such as Medallion Architecture (Bronze / Silver / Gold)\nExperience with permissions and access concepts\nKnowledge of continuous ingestion and continuous development practices\nUnderstanding of deployment processes and data quality practices\nSolution-oriented and structured approach to engineering challenges\nStrong communication skills and ability to work independently with stakeholders\nExperience working in agile projects, particularly Scrum\nUnderstanding of IT Service Management processes such as ITIL\nEnglish allowing you to work effectively in an international environment.\nIt would be great if you also have:Experience with Microsoft Azure in a Databricks / Data Engineering environment\nExperience with Spark or PySpark\nExperience with streaming, CDC, Auto Loader, Structured Streaming, or similar continuous ingestion approaches\nExperience with Machine Learning or LLM solutions in Databricks\nExperience with Jira and Confluence\nGood German language skills.\nTech stack\nDatabricks\nSQL\nPython\nETL\nData modelling\nData Lake\nData pipelines\nAzure\nPySpark\nSpark\nCI/CD\nMachine learning\nLLM","description_format":"text","description_chars":5175,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Life insurance"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Software","Web Development Services"],"lifecycle":[{"event":"open","at":"2026-10-08T22:25:03Z"}],"visa":[],"liveness":{"score":69,"band":"ok","label":"Likely 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