{"id":2225021,"url":"https://alion.io/job/group-data-analytics-data-engineering-lead-all-genders","title":"Data & Analytics - Data Engineering Lead (all genders)","company":{"id":1918150,"name":"Vienna Insurance Group","domain":"group.vig","url":"https://alion.io/company/group-vig","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vienna, Austria"],"countries":["AT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3911,"max":null,"currency":"EUR","period":"month","gross":null,"usd_annual":52596},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Outlook","optional":true}],"status":"live","first_seen_at":"2026-10-08T03:30:05Z","employer_posted_date":null,"last_verified_at":"2026-10-08T03:30:05Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"WORKING IN THE MIDDLE OF VIENNA: \n EXCHANGING ACROSS EUROPE \n\nData & Analytics - Data Engineering Lead (all genders)\n\nVienna \n\nfull-time \n\nhybrid \n\nall genders \n\nasap \n\nexperienced \n\nData & Analytics \n\nMEHR ÜBER DIE VIG \n\nYour Tasks\n\nLead and grow a data engineering team; coordinate projects with data scientists, engineers, and product owners \n\nDesign, build, and operate scalable Databricks pipelines using Python, Declarative Pipelines, and Jobs/Workflows \n\nUse Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases \n\nDefine standards, reusable templates, and documentation for group-wide use \n\nEnsure pipeline quality via versioning, testing, monitoring, SLAs/SLOs, and automated deployments \n\nManage platform costs and pipeline performance \n\nYour Benefits\n\n37,5 Working Hours, Flexi Time & Home-Office \n\nLearning & Development \n\nLife Balance & Family Specials \n\nModern Workspace & Canteen \n\nHealth & Sports Offers \n\n More Benefits \n\nYour Profile\n\nDegree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent experience \n\n5+ years in data engineering with leadership experience \n\nHands-on with Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, Jobs/Workflows \n\nExperience with Azure Data Factory, data modeling, performance tuning, and operating production data systems \n\nDataOps mindset: versioning, testing, automated deployments, observability, robust release processes \n\nExcellent leadership, communication, teamwork; independent, solution-oriented; very good English; German is a plus \n\nBased on the legal requirements, we inform about the monthly minimum salary according to the collective agreement of EUR 3,910.79 gross on the basis of full-time employment (37,5 hours / week). Of course, the remuneration package is market-compliant. It is important to us that your salary is based on your qualifications and experience, therefore we will discuss the salary together in a personal interview. \n This full-time position is to be filled as soon as possible. \n\nKeyfacts \n\nNo. 1 in Central and Eastern Europe \n\nMore than 50 insurance companies and pension funds \n\nOperating in 30 countries \n\nAround 34,000 employees \n\nAround 36 million customers \n\nVIG share listed on the Vienna, Prague and Budapest stock exchanges \n\nStandard & Poor's rating: A+ with positive outlook \n\nWe stand for diversity and respect. That is why we see it as an enrichment to employ people of different backgrounds, ages, genders, sexual orientations, religions and abilities. Become part of our diverse Group! \n\nKatharina Peyer \n +43 50 350-74029 \n  \n\nI look forward to receiving your application via our job portal! \n\nApply now","description_format":"text","description_chars":2721,"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":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Property & Casualty Insurance"],"lifecycle":[{"event":"open","at":"2026-10-10T14:49:00Z"}],"visa":[],"liveness":{"score":84,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.844,"p_room":1,"age_days":4,"expected_fill_days":23,"reasons":["seen:4","win:early"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":52596,"is_top_pay":false},"html_url":"https://alion.io/job/group-data-analytics-data-engineering-lead-all-genders","json_url":"https://alion.io/job/group-data-analytics-data-engineering-lead-all-genders.json","meta":{"generated_at":"2026-10-12T16:51:48Z","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":26856,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":1918150},"rest":"https://alion.io/mcp/rest/get_company?id=1918150"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgroup-data-analytics-data-engineering-lead-all-genders"},{"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%2Fgroup-data-analytics-data-engineering-lead-all-genders"},{"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%2Fgroup-data-analytics-data-engineering-lead-all-genders"},{"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/group-data-analytics-data-engineering-lead-all-genders\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgroup-data-analytics-data-engineering-lead-all-genders"}]}