Data & Analytics - Data Engineering Lead (all genders)
Vienna Insurance Group
About the role
Position Overview
Data & Analytics – Data Engineering Lead (all genders)
Location: Vienna (working in the middle of Vienna, exchanging across Europe)
Employment type: Full‑time, hybrid, experienced, ASAP
Your Tasks
- Lead and grow a data engineering team; coordinate projects with data scientists, engineers, and product owners
- Design, build, and operate scalable Databricks pipelines using Python, Declarative Pipelines, and Jobs/Workflows
- Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases
- Define standards, reusable templates, and documentation for group‑wide use
- Ensure pipeline quality via versioning, testing, monitoring, SLAs/SLOs, and automated deployments
- Manage platform costs and pipeline performance
Your Profile
- Degree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent experience
- 5+ years in data engineering with leadership experience
- Hands‑on with Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, Jobs/Workflows
- Experience with Azure Data Factory, data modeling, performance tuning, and operating production data systems
- DataOps mindset: versioning, testing, automated deployments, observability, robust release processes
- Excellent leadership, communication, teamwork; independent, solution‑oriented; very good English; German is a plus
Your Benefits
- 37,5 Working Hours, Flexi Time & Home‑Office
- Learning & Development
- Life Balance & Family Specials
- Modern Workspace & Canteen
- Health & Sports Offers
- More Benefits
Salary Information
Based on legal requirements, the monthly minimum salary according to the collective agreement is EUR 3,910.79 gross (full‑time, 37,5 hours/week). The remuneration package is market‑compliant and will be discussed based on qualifications and experience.
About VIG
Vienna Insurance Group is the leading insurance group in Central and Eastern Europe (CEE). With around 30,000 employees in more than 50 insurance companies and pension funds in 30 countries, we serve approximately 33 million customers daily. VIG holds an “A+” rating with a positive outlook. We are characterized by commitment, competence, and service orientation, and we foster a diverse, inclusive environment that values different backgrounds, ages, genders, sexual orientations, religions, and abilities.
Contact & Application
I am looking forward to your application and am at your disposal for questions.
Please note that we cannot accept applications by e‑mail due to data protection regulations. Use the link to our application portal.
Apply now
Katharina Peyer
Phone: +43 50 350‑74029
Email: katharina.peyer@vig.com
Requirements
- Degree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent experience
- 5+ years in data engineering with leadership experience
- Hands-on with Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, Jobs/Workflows
- Experience with Azure Data Factory, data modeling, performance tuning, and operating production data systems
- DataOps mindset: versioning, testing, automated deployments, observability, robust release processes
- Excellent leadership, communication, teamwork; independent, solution-oriented; very good English; German is a plus
Responsibilities
- Lead and grow a data engineering team; coordinate projects with data scientists, engineers, and product owners
- Design, build, and operate scalable Databricks pipelines using Python, Declarative Pipelines, and Jobs/Workflows
- Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases
- Define standards, reusable templates, and documentation for group-wide use
- Ensure pipeline quality via versioning, testing, monitoring, SLAs/SLOs, and automated deployments
- Manage platform costs and pipeline performance
Benefits
Skills
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