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 work for around 33 million customers every day. We do this successfully, which is why VIG-Group has an “A+” rating with a positive outlook. We are characterized by commitment, competence and service orientation on the one hand, and a diverse team with different talents and exciting areas of work in an inclusive environment on the other. We stand for diversity and respect, which is why we see it as enriching to employ people from different backgrounds, ages, genders, sexual orientations, religions and abilities. Become part of our diversity!

Your Tasks

• Collaborate with data scientists, analysts, and product owners to build reliable, maintainable pipelines and products
• Design, build, and operate Databricks pipelines using Python, Lakeflow Declarative Pipelines, and Jobs/Workflows
• Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases
• Ensure pipeline quality via versioning, testing, monitoring, SLAs/SLOs, and automated deployments
• Manage platform costs and pipeline performance
• Support establishment of standards, reusable templates, and documentation for group-wide use

Our Offer

• Great flexibility, e.g. home office, flexitime, 37.5 hours / week
• Extensive onboarding and learning & development program
• Benefits, including childcare services, company health care center, canteen, sports facilities, Employee Assistance Program
• Flat company hierarchy
• Workplace in the heart of Vienna and in the center of CEE in international teams
• Here you find more about our benefits
• Here you find more about VIG
• Based on the legal requirements, we inform about the monthly minimum salary according to the collective agreement of EUR 3,556.03 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.
• This full-time position is to be filled as soon as possible

Your Profile

• Degree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent experience
• Hands-on with Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, and Jobs/Workflows
• Experience with Azure Data Factory, data modeling, performance tuning, and production data systems
• DataOps mindset: versioning, testing, automated deployments, observability, robust release processes
• Excellent communication and teamwork; independent, solution-oriented; very good English; German is a plus

Does this sound interesting to you?

Ms. Barbara Zierler is looking forward to your application via vig.jobs

Please note that we are not allowed to accept applications by e-mail due to data protection regulations. For this reason, use the link to our application portal.