{"id":3946779,"url":"https://alion.io/job/artefact-senior-data-engineer-databricks","title":"Senior Data Engineer (Databricks)","company":{"id":53062,"name":"Artefact","domain":"artefact.com","url":"https://alion.io/company/artefact-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":72,"open_postings":120,"ghost_share":0.383,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":100,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Lausanne, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"dbt","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-08T20:18:32Z","employer_posted_date":"2026-11-08","last_verified_at":"2026-11-09T01:52:25Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who is Artefact?\nArtefact is a next-generation strategy and data consulting firm that transforms organizations through data and AI. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders. From our Lausanne and Zurich offices, we help leading Swiss and international companies turn data and AI into measurable results, working with the leading data platforms, including Databricks.\nMain Responsibilities\nYou will design and deliver the data platforms our clients run their business and their AI on, combining hands-on engineering with client advisory.\nBuild modern data platforms: End-to-end lakehouse architectures, mainly on Databricks, built for reliability, observability, and cost.\nEngineer pipelines: Batch and streaming pipelines with Python, Spark, and SQL, with data quality built in.\nMigrate and modernize: Move legacy warehouses and ETL to the cloud, from assessment to cut-over.\nMake data ready for AI: Governed data products and semantic layers that analytics and AI agents can rely on.\nRun it properly: Data governance, CI/CD, infrastructure as code, monitoring, and cost control.\nAdvise and support: Translate business needs into roadmaps, coach junior engineers, and support proposals.\nCandidate Profile\nEngineer first, consultant second, with a track record of shipping to production.\n5+ years in data engineering, including hands-on Databricks experience in production.\nExpert Python and SQL, with strong Spark and data modeling skills.\nDatabricks Data Engineer Professional certification, or a commitment to obtain it within 6 months (we support you).\nExperience on Azure, AWS, or GCP, plus DataOps (Git, CI/CD, Terraform, testing).\nStrong consulting skills: requirements gathering, documentation, stakeholder management.\nFluent English plus French or German (both is a plus); eligible to work in Switzerland.\nNice to have: Experience with other data platforms (Snowflake, Microsoft Fabric, BigQuery), dbt, MLOps, and industry experience (consumer goods, pharma, logistics, insurance, manufacturing).\nWhy Join Us\nStrategy with a Data Edge: Build the platforms behind boardroom priorities.\nSwiss Impact: High visibility from day one on flagship programs, working directly with senior leadership.\nStrong Tech Ecosystem: Certified peers across Artefact and close partnerships with leading data and cloud platforms.\n Growth and Culture: Certifications, training, international missions, and a team of doers who move fast and support each other.\nIf you don’t meet 100% of the criteria, we still want to hear from you. 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