{"id":578726,"url":"https://alion.io/job/zeiss-senior-data-engineer-fmd","title":"(Senior) Data Engineer (f/m/d)","company":{"id":5290,"name":"Zeiss","domain":"zeiss.com","url":"https://alion.io/company/zeiss","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":176,"ghost_share":0,"stale_share":0.813,"repost_share":0.011,"time_to_fill_p50_days":39,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oberkochen, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":125000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Photolithography","optional":false},{"name":"Trino","optional":false},{"name":"Delta Lake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-09T19:59:38Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-11-02T09:29:12Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"ZEISS Semiconductor Manufacturing Technology\nEnabler for smaller, more powerful, and more energy-efficient microchips\nWorking for tomorrow today.\nAround 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives - whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.\nYour role:\nConceptualization, implementation, and further development of data models that seamlessly link development, manufacturing, SAP, and supply-chain data\nTranslating physical and process requirements into robust, traceable data models (OLAP/OLTP, Data Vault, dimensional modeling)\nCollaboration with process and domain experts to clarify definitions, thresholds, quality rules, and compliance requirements\nDesign and implementation of data governance, quality checks, metadata management, and lineage tracking\nImplementation of production data pipelines (ETL/ELT) via Kafka Streams, dbt transformations, and on-prem (notably Trino) as well as cloud environments (notably Databricks) using CI/CD (Quality Gates, automated tests)\nEnsuring data consistency, visibility, and availability for analytics, AI/ML models, and simulations\nDevelopment of performance and scaling strategies including monitoring, profiling, and performance tuning\nMentoring less experienced Data Engineers, promoting best practices and code reviews\nContributions to architecture decisions, security-by-design, and data privacy requirements\nYour profile:\nStrong data modeling expertise: 5-7 years of cross-domain data modeling experience (Data Vault, dimensional, logical/physical) - ideally in a complex manufacturing or high-tech environment\nBridge between physics and data: Proven ability to collaborate with domain experts in manufacturing, development, or engineering and translate highly complex, physically grounded processes into robust data models\nTurning poor data quality into an strength: Experience in systematic profiling, assessment, and cleaning of heterogeneous, historically grown data sources - you see data chaos as a design challenge, not a hurdle\nMastery of a hybrid tech stack: Hands-on experience with Trino (on-prem), dbt (transformation & documentation), Apache Kafka (streaming), and Databricks (Delta Lake, Spark); know the strengths and limits of each tool\nSeizing new technologies: Very good familiarity with state-of-the-art GenAI models and their reliable use to improve and accelerate daily work; also aware of their limits and safe-use requirements\nSAP and supply-chain data competence: Familiarity with SAP data structures (MM, PP, SD, QM) as well as MES/SCADA or PLM data; experience integrating these sources into an analytical data platform\nData governance as a discipline: Embedding quality rules, lineage, and metadata from the outset in pipelines and models - governance is not overhead but part of good engineering\nCommunication strength at all levels: Ability to discuss complex data architectures clearly and purposefully with process engineers, management, and data scientists - in German and English\nSenior mindset: Take independent architectural decisions, mentor less experienced colleagues, and demonstrate a pragmatic, solution-oriented approach even in the face of uncertain or poor data conditions\nYour ZEISS Recruiting Team:\nAdrian Kahl","description_format":"text","description_chars":3725,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"German","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Surgical Instruments & Devices","Eyewear","Medical Imaging Systems","Semiconductor Equipment"],"lifecycle":[{"event":"open","at":"2026-09-09T19:59:38Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.558,"p_room":0.44,"age_days":53,"expected_fill_days":39,"reasons":["conf:7","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/zeiss-senior-data-engineer-fmd","json_url":"https://alion.io/job/zeiss-senior-data-engineer-fmd.json","meta":{"generated_at":"2026-11-02T13:43:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18724,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5290},"rest":"https://alion.io/mcp/rest/get_company?id=5290"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzeiss-senior-data-engineer-fmd"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzeiss-senior-data-engineer-fmd"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzeiss-senior-data-engineer-fmd"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zeiss-senior-data-engineer-fmd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzeiss-senior-data-engineer-fmd"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":578726}},{"tool":"search_jobs","arguments":{"company":"zeiss.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":578726},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); 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