WORKING IN THE MIDDLE OF VIENNA: EXCHANGING ACROSS EUROPE
DevOps Specialist / Data Engineer (all genders) - Data & Analytics
Vienna
experienced
hybrid
full-time
all genders
asap
Data & Analytics
Your Tasks Collaborate with data engineers, scientists, and product owners to build group-wide data, ML, GenAI, and BI solutions Design, build, and operate data pipelines on Databricks using Python and Lakeflow (Pipelines, Jobs/Workflows) Use Azure Data Factory and Azure services for data ingestion, orchestration, and backend integration Implement and operate CI/CD pipelines, infrastructure automation, and environment management Standardize and improve release, deployment, and operations across DataOps, MLOps, LLMOps, and DevOps Ensure monitoring, logging, security, access control, and cost/performance optimization in production
MORE ABOUT THE DEPARTMENT
Your Benefits 37,5 Working Hours, Flexi Time & Home-Office
Learning & Development
Life Balance & Family Specials
Modern Workspace & Canteen
Health & Sports Offers
More Benefits
Your Profile Degree in Computer Science, Data/Cloud Engineering, or comparable practical experience 3+ years of experience in DevOps, cloud, platform, or data engineering with a focus on production-grade data solutions Strong expertise in Databricks (Python, Spark, Lakehouse) and building and operating data pipelines Experience with Azure DevOps, Git, CI/CD, infrastructure automation, as well as Azure services including Data Factory and BI tools (Power BI, Fabric) DataOps mindset with focus on testing, versioning, observability, and reliable operations Excellent communication & teamwork, independent and solution-oriented working style, very good English; German is a plus
Based on the legal requirements, we inform about the monthly minimum salary according to the collective agreement of EUR3,668.49 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. No. 1 in Central and Eastern Europe More than 50 insurance companies and pension funds Operating in 30 countries Around 34,000 employees Around 36 million customers VIG share listed on the Vienna, Prague and Budapest stock exchanges Standard & Poor's rating: A+ with positive outlook We 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 ! Contact
I look forward to receiving your application via our
job portal
! Apply now
Katharina Peyer
-74029
DevOps Specialist / Data Engineer (all genders) - Data & Analytics
Vienna
experienced
hybrid
full-time
all genders
asap
Data & Analytics
Your Tasks Collaborate with data engineers, scientists, and product owners to build group-wide data, ML, GenAI, and BI solutions Design, build, and operate data pipelines on Databricks using Python and Lakeflow (Pipelines, Jobs/Workflows) Use Azure Data Factory and Azure services for data ingestion, orchestration, and backend integration Implement and operate CI/CD pipelines, infrastructure automation, and environment management Standardize and improve release, deployment, and operations across DataOps, MLOps, LLMOps, and DevOps Ensure monitoring, logging, security, access control, and cost/performance optimization in production
MORE ABOUT THE DEPARTMENT
Your Benefits 37,5 Working Hours, Flexi Time & Home-Office
Learning & Development
Life Balance & Family Specials
Modern Workspace & Canteen
Health & Sports Offers
More Benefits
Your Profile Degree in Computer Science, Data/Cloud Engineering, or comparable practical experience 3+ years of experience in DevOps, cloud, platform, or data engineering with a focus on production-grade data solutions Strong expertise in Databricks (Python, Spark, Lakehouse) and building and operating data pipelines Experience with Azure DevOps, Git, CI/CD, infrastructure automation, as well as Azure services including Data Factory and BI tools (Power BI, Fabric) DataOps mindset with focus on testing, versioning, observability, and reliable operations Excellent communication & teamwork, independent and solution-oriented working style, very good English; German is a plus
Based on the legal requirements, we inform about the monthly minimum salary according to the collective agreement of EUR3,668.49 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. No. 1 in Central and Eastern Europe More than 50 insurance companies and pension funds Operating in 30 countries Around 34,000 employees Around 36 million customers VIG share listed on the Vienna, Prague and Budapest stock exchanges Standard & Poor's rating: A+ with positive outlook We 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 ! Contact
I look forward to receiving your application via our
job portal
! Apply now
Katharina Peyer
-74029
DevOps Specialist / Data Engineer (all genders) - Data & Analytics Arbeitgeber: Vienna Insurance Group
Die Vienna Insurance Group ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, in einem dynamischen und vielfältigen Umfeld in Wien zu arbeiten. Mit einem starken Fokus auf Mitarbeiterentwicklung und einem inklusiven Arbeitsklima fördern wir Ihre berufliche Entfaltung und bieten Ihnen die Chance, Teil eines erfolgreichen Teams zu werden, das täglich für 33 Millionen Kunden in Zentral- und Osteuropa arbeitet. Genießen Sie eine marktkonforme Bezahlung und profitieren Sie von einem respektvollen Umgang sowie einer wertschätzenden Unternehmenskultur, die Vielfalt und Teamarbeit schätzt.
