{"id":1252902,"url":"https://alion.io/job/volvocars-data-engineer-sw-factory","title":"Data engineer @ SW Factory","company":{"id":48495,"name":"Volvocars","domain":"volvocars.com","url":"https://alion.io/company/volvocars","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gothenburg, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":145000,"period":"year","method":null,"sample_n":3503},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Kanban","optional":false},{"name":"Kubernetes","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Polaris","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-09-16T02:00:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-09-28T23:15:07Z","board_verified":false,"closed_at":"2026-09-28T23:15:07Z","days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Imagine the mobility of tomorrow\nPicture yourself in an exciting industry where the future revolves around leading-edge electrified and self-driving cars seamlessly integrated into people's daily lives. But how can we create this future in a way that is both safe and sustainable? This is just one of the inspiring questions we're working to solve here at Volvo Cars. Join us and watch your ideas shape the future of mobility.\nLet's introduce ourselves\nSoftware Factory brings skilled professionals together to harmonize engineering workflows, build common tools, and accelerate software development at Volvo Cars. We develop and operate applications that turn engineering data into actionable software-quality KPIs, while building governed data products with clear ownership and reliable quality. Our insights help teams improve infrastructure use and make better decisions across the CI/CD flow.\nWe are looking for an experienced Data Engineer to help enable a stable, robust, and secure electrical system for our next-generation software and electronics platform.\nWhat you'll do\nAs a Data Engineer, you will build and maintain scalable data platforms and ETL/ELT pipelines that support data-driven development across Software Factory. You will work with engineers and stakeholders to turn data needs into reliable solutions and ensure data is accessible, consistent, and fit for use.\nYou will strengthen data governance by supporting standards, cataloguing assets, monitoring quality and compliance, and resolving data issues with data owners, analysts, and engineers. You will also promote sound data-management practices and ethical use of data.\nIn this role, you will:\nDesign and maintain the end-to-end data platform, including ingestion, Apache Iceberg lakehouse storage, Dagster orchestration, and Snowflake warehousing\nBuild reusable ingestion frameworks for onboarding new data sources\nEvolve lakehouse table formats, schemas, and governance\nDefine and enforce data contracts, service-level agreements, and quality standards\nMonitor pipelines, data quality, and infrastructure health\nDeliver data solutions for analytics and product use cases with cross-functional teams\nDeploy and operate data infrastructure using Kubernetes, Helm, GitOps, and CI/CD\nDocument architecture, governance, and onboarding to support self-service data use\nEvaluate technologies that improve platform capabilities\nWhat you'll bring\nMSc in Computer Science, Software Engineering, or equivalent practical experience\nStrong Python and SQL skills\nExperience building and operating data pipelines with orchestration tools such as Dagster or Airflow\nHands-on experience with Snowflake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Hudi\nStrong knowledge of data modelling and dbt\nExperience with data cataloguing and governance tools such as Snowflake Open Catalog, Unity Catalog, or Polaris\nCloud-platform experience, preferably Azure, including Blob Storage, networking, and Entra ID\nExperience deploying data services with Kubernetes, Helm, and Docker\nFamiliarity with CI/CD tools such as GitHub Actions\nExperience with monitoring, alerting, and observability solutions such as Grafana\nExperience working in agile environments such as Scrum, Kanban, or SAFe\nYou are structured, self-driven, and accountable, with strong collaboration and communication skills across disciplines.\nVolvo Cars. For Life.\nFor nearly a century, Volvo Cars has empowered people to move freely in a personal, sustainable and safe way. Today, we are driving bold advancements in electrification, sustainability and automotive safety. To realise our ambitious vision, we are seeking innovative minds who are ready to tackle the challenges of tomorrow - today.\nAt Volvo Cars, we believe extraordinary things are achieved by ordinary people with a passion for making a difference. If you’re inspired by the opportunity to help redefine the future of mobility, we invite you to be part of our journey.\nReady to take the next step?\n Submit your CV in English by 30 September and tell us why you are a strong fit for the role. You will receive a confirmation email after applying. Final candidates may undergo a background check.\nFor recruitment questions, contact Talent Acquisition Partner Martina Damis at . For role-related questions, contact Hiring Manager Thomas Hermanson at .\nWe welcome your application!","description_format":"text","description_chars":4443,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["EV Charging"],"lifecycle":[{"event":"open","at":"2026-09-25T18:38:33Z"},{"event":"close","at":"2026-09-28T23:15:07Z"}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/volvocars-data-engineer-sw-factory","json_url":"https://alion.io/job/volvocars-data-engineer-sw-factory.json","meta":{"generated_at":"2026-10-01T11:30:54Z","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":3236,"day_limit":5000,"remaining_today":1764,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}