{"data":{"id":146787,"slug":"data-engineer-till-vasttrafik-goteborg-hybrid-2","type":"job","title":"Data Engineer at V\u00e4sttrafik | Gothenburg | Hybrid","description":"Be part of developing the future of data-driven public transportation! Do you have experience with SQL, Python, and working in complex data environments? Do you want to use your expertise to develop data solutions that form the foundation for some of V\u00e4sttrafik's most critical key metrics? We are now looking for a Data Engineer who wants to work with large datasets, complex data flows, and modern technology in a Databricks-based environment.\n \nWhat you become a part of\nYou will join the KRS team (Customer Accounting System) which is responsible for the systems and data solutions used to measure, analyze, and track ridership in public transportation. The team's work is business-critical for V\u00e4sttrafik and forms the foundation for one of the company's most important key metrics - ridership!\nBehind the solution lies an extensive data flow where information from sensors on buses and trams is collected, quality assured, and processed to provide as accurate a picture as possible of public transportation ridership. KRS is one of four teams within BI & Data Analytics at V\u00e4sttrafik. The teams work toward a common vision and product strategy with close collaboration, shared forums, and active knowledge exchange between colleagues.\n\nRole Description\nAs a Data Engineer, you will combine development, analysis, and enhancement of business-critical data solutions. The work spans the entire chain - from data collection and processing to analysis, monitoring, and improvement of existing solutions. The role suits you if you thrive working hands-on with development. A large part of your day revolves around code development in Databricks, primarily with Python\/PySpark and SQL, to manage and enhance business-critical data flows.\nYou will work in a complex environment with large datasets, near real-time flows, and many dependencies between systems, integrations, and external vendors. The team is characterized by close collaboration where colleagues support each other, share knowledge, and take joint responsibility for delivery. Here you will have the opportunity to:\nDevelop, test, and enhance solutions related to the customer accounting system\nBuild and maintain data flows for large amounts of ridership data\nWork with data modeling and data structuring\nEnsure quality, robustness, and performance in data solutions\nImprove, optimize, and simplify existing solutions and processes\n\nTechnical Environment\nThe team works in a modern Databricks-based data platform where large amounts of ridership data are collected, processed, and made available for analysis and monitoring. The environment is built on Data Lake solutions and includes development of data flows, integrations, data models, and analytical solutions. The technology stack primarily consists of:\nDatabricks, SQL (T-SQL and Spark SQL)\nPython\/PySpark\nPower BI & DAX\n\nYour Profile\nWe believe you thrive in a role where you can combine technical depth with analysis and business understanding. You are a person who takes responsibility for your work, has the ability to see structure in complex environments, and appreciate collaborating with others to find good solutions. You enjoy sharing your knowledge, contribute to the team's development, and are motivated by working with data that actually makes a difference in the business.\n\nQualifications:\nPost-secondary education in computer science, data engineering, IT, or equivalent competence through work experience\nSeveral years of experience working in data engineering, systems development, or similar field\nVery good knowledge of Python\/PySpark and SQL\nExperience working in complex IT environments with many integrations and dependencies\nFluent Swedish in speech and writing\n\nIt is particularly interesting if you also have experience with:\nModern data platforms such as Databricks, Microsoft Fabric, or Snowflake\nData modeling, data warehousing, and performance optimization\nPower BI and DAX\nNear real-time systems, sensor data, or other data-intensive environments\nComplex data flows where information is processed and made available from various sources, for example in traffic, industry, energy, or similar operations\n\nV\u00e4sttrafik as a Workplace\nAt V\u00e4sttrafik, you are part of influencing people's everyday lives and contributing to a more sustainable society. We are in the midst of a technical development journey and are making long-term investments in our digital platforms and data solutions. In this role, you will work at the intersection of data, technology, and societal value. You will become part of a modern data environment where large amounts of ridership data are transformed into insights that help V\u00e4sttrafik develop the public transportation of the future.\nWith us, you get a secure employment, good development opportunities, and a culture characterized by collaboration and helpfulness. We offer flexible work arrangements and good benefits, as well as the opportunity to work remotely when operations permit.\n\nTerms and Application\nThis is a permanent full-time position based in Gothenburg. V\u00e4sttrafik offers a flexible work arrangement consisting of both office and remote work. Depending on the assignment, the position may also be classified as security-sensitive.\nIn this recruitment, V\u00e4sttrafik is collaborating with Experis. If you have questions, please contact our recruiter Jenny Lilja at jenny.lilja@se.experis.com. The application deadline is August 23rd.\nWe look forward to learning more about you!","language":"sv","is_translated":true,"title_original":"Data Engineer till V\u00e4sttrafik | G\u00f6teborg | Hybrid","description_original":"Var med och utveckla framtidens datadrivna kollektivtrafik! Har du erfarenhet av SQL, Python och arbete i komplexa datamilj\u00f6er? Vill du anv\u00e4nda din kompetens f\u00f6r att utveckla de datal\u00f6sningar som ligger till grund f\u00f6r n\u00e5gra av V\u00e4sttrafiks viktigaste nyckeltal? Nu s\u00f6ker vi en Data Engineer som vill arbeta med stora datam\u00e4ngder, komplexa datafl\u00f6den och modern teknik i en Databricks-baserad milj\u00f6. \n \nVad du blir en del av \n Du blir en del av KRS-teamet (Kundr\u00e4kningssystemet) som ansvarar f\u00f6r de system och datal\u00f6sningar som anv\u00e4nds f\u00f6r att m\u00e4ta, analysera och f\u00f6lja upp resandet i kollektivtrafiken. Teamets arbete \u00e4r aff\u00e4rskritiskt f\u00f6r V\u00e4sttrafik och utg\u00f6r grunden f\u00f6r ett av verksamhetens viktigaste nyckeltal - resandet!\nBakom l\u00f6sningen finns ett omfattande datafl\u00f6de d\u00e4r information fr\u00e5n sensorer p\u00e5 bussar och sp\u00e5rvagnar samlas in, kvalitetss\u00e4kras och bearbetas f\u00f6r att ge en s\u00e5 korrekt bild som m\u00f6jligt av resandet i kollektivtrafiken. KRS \u00e4r ett av fyra team inom BI & Dataanalys p\u00e5 V\u00e4sttrafik. Teamen arbetar mot en gemensam m\u00e5lbild och produktstrategi med n\u00e4ra samarbete, gemensamma forum och ett aktivt kunskapsutbyte mellan kollegor.\n \nRollbeskrivning \n I rollen som Data Engineer kombinerar du utveckling, analys och vidareutveckling av verksamhetskritiska datal\u00f6sningar. Arbetet sp\u00e4nner \u00f6ver hela kedjan - fr\u00e5n insamling och bearbetning av data till analys, uppf\u00f6ljning och f\u00f6rb\u00e4ttring av befintliga l\u00f6sningar. Rollen passar dig som trivs med att arbeta hands-on med utveckling. En stor del av vardagen kretsar kring kodutveckling i Databricks, fr\u00e4mst med Python\/PySpark och SQL, f\u00f6r att hantera och vidareutveckla verksamhetskritiska datafl\u00f6den.\nDu arbetar i en komplex milj\u00f6 med stora datam\u00e4ngder, realtidsn\u00e4ra fl\u00f6den och m\u00e5nga beroenden mellan system, integrationer och externa leverant\u00f6rer. Teamet pr\u00e4glas av ett n\u00e4ra samarbete d\u00e4r kollegor st\u00f6ttar varandra, delar kunskap och tar gemensamt ansvar f\u00f6r leveransen. H\u00e4r f\u00e5r du m\u00f6jlighet att:\nUtveckla, testa och vidareutveckla l\u00f6sningar kopplade till kundr\u00e4kningssystemet\nBygga och f\u00f6rvalta datafl\u00f6den f\u00f6r stora m\u00e4ngder resandedata\nArbeta med datamodellering och strukturering av data\nS\u00e4kerst\u00e4lla kvalitet, robusthet och prestanda i datal\u00f6sningarna\nF\u00f6rb\u00e4ttra, optimera och f\u00f6renkla befintliga l\u00f6sningar och processer\n\n\n\nTeknisk milj\u00f6\n Teamet arbetar i en modern Databricks-baserad dataplattform d\u00e4r stora m\u00e4ngder resandedata samlas in, bearbetas och tillg\u00e4ngligg\u00f6rs f\u00f6r analys och uppf\u00f6ljning. Milj\u00f6n bygger p\u00e5 Data Lake-l\u00f6sningar och omfattar utveckling av datafl\u00f6den, integrationer, datamodeller och analysl\u00f6sningar. Teknikstacken best\u00e5r fr\u00e4mst av:\nDatabricks, SQL (T-SQL och Spark SQL)\nPython\/PySpark\nPower BI & DAX\n\n \nDin profil \n Vi tror att du trivs i en roll d\u00e4r du f\u00e5r kombinera tekniskt djup med analys och verksamhetsf\u00f6rst\u00e5else. Du \u00e4r en person som tar ansvar f\u00f6r ditt arbete, har f\u00f6rm\u00e5ga att se strukturer i komplexa milj\u00f6er och uppskattar att samarbeta med andra f\u00f6r att hitta bra l\u00f6sningar. Du delar g\u00e4rna med dig av din kunskap, bidrar till teamets utveckling och motiveras av att arbeta med data som faktiskt g\u00f6r skillnad i verksamheten.\nKvalifikationer: \nEftergymnasial utbildning inom systemvetenskap, data engineering, IT eller motsvarande kompetens genom arbetslivserfarenhet\nFler\u00e5rig erfarenhet av arbete inom data engineering, systemutveckling eller liknande omr\u00e5de\nMycket goda kunskaper i Python\/PySpark och SQL\nErfarenhet av att arbeta i komplexa IT-milj\u00f6er med m\u00e5nga integrationer och beroenden\nFlytande svenska i tal och skrift\n\nDet \u00e4r extra intressant om du \u00e4ven har erfarenhet av:\nModerna dataplattformar som Databricks, Microsoft Fabric eller Snowflake\nDatamodellering, Datamodellering, datalager och prestandaoptimering\nPower BI och DAX\nRealtidsn\u00e4ra system, sensordata eller andra datatunga milj\u00f6er\nKomplexa datafl\u00f6den d\u00e4r information bearbetas och tillg\u00e4ngligg\u00f6rs fr\u00e5n olika k\u00e4llor exempelvis inom trafik, industri, energi eller liknande verksamheter\n\nV\u00e4sttrafik som arbetsplats\n P\u00e5 V\u00e4sttrafik \u00e4r du med och p\u00e5verkar m\u00e4nniskors vardag och bidrar till ett mer h\u00e5llbart samh\u00e4lle. Vi \u00e4r mitt i en teknisk utvecklingsresa och satsar l\u00e5ngsiktigt p\u00e5 v\u00e5ra digitala plattformar och datal\u00f6sningar. I den h\u00e4r rollen f\u00e5r du arbeta i sk\u00e4rningspunkten mellan data, teknik och samh\u00e4llsnytta. Du blir en del av en modern datamilj\u00f6 d\u00e4r stora m\u00e4ngder resandedata omvandlas till insikter som hj\u00e4lper V\u00e4sttrafik att utveckla framtidens kollektivtrafik.\nHos oss f\u00e5r du en trygg anst\u00e4llning, goda utvecklingsm\u00f6jligheter och en kultur som pr\u00e4glas av samarbete och hj\u00e4lpsamhet. Vi erbjuder flexibelt arbete och goda f\u00f6rm\u00e5ner, samt m\u00f6jlighet till distansarbete n\u00e4r verksamheten till\u00e5ter.\n \nVillkor och ans\u00f6kan\n Tj\u00e4nsten \u00e4r en tillsvidareanst\u00e4llning p\u00e5 heltid med placering i G\u00f6teborg. V\u00e4sttrafik erbjuder ett flexibelt arbetsuppl\u00e4gg best\u00e5ende av b\u00e5de kontors- och distansarbete. Beroende p\u00e5 uppdrag kan tj\u00e4nsten ocks\u00e5 komma att placeras i s\u00e4kerhetsklass. \nI den h\u00e4r rekryteringen samarbetar V\u00e4sttrafik med Experis. Vid fr\u00e5gor \u00e4r du varmt v\u00e4lkommen att kontakta v\u00e5r rekryterare Jenny Lilja p\u00e5 jenny.lilja@se.experis.com. Sista ans\u00f6kningsdag \u00e4r 23e augusti. \nVi ser fram emot att veta mer om dig!","price":null,"currency":"SEK","status":"active","noindex":false,"location":{"address":"Gullbergs Strandgata 8, 411 04 G\u00f6teborg","full_address":null,"city":"Gothenburg","country":"SE","latitude":57.715982014288,"longitude":11.983164952675},"metadata":{"region":"V\u00e4stra G\u00f6talands l\u00e4n","duration":"Tills vidare","employer":"Experis AB","postcode":"41104","positions":1,"profession":"Dataingenj\u00f6r","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"Jenny Lilja","employment_type":"Vanlig anst\u00e4llning","occupation_field":"Yrken med teknisk inriktning","employer_workplace":"V\u00e4sttrafik AB","experience_required":true},"user_id":null,"is_sponsored":false,"views_count":4,"ai_views_count":1,"ai_vendor_counts":{"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"Jenny.Lilja@se.experis.com","images":[],"published_at":"2026-08-06T13:40:54+00:00","expires_at":"2026-08-23T23:59:59+00:00","created_at":"2026-08-15T03:06:49+00:00","updated_at":"2026-08-19T03:04:58+00:00"}}