Data & Analytics - Data Engineer (all genders)

oeh; Österreich; Vor Ort; EUR 36.113 - 43.256; Vollzeit

Benefits dieser Stelle

37.5 Working Hours

Flexi Time

Home Office

Learning & Development

Health & Sports Offers

Zusammenfassung

A leading insurance company is seeking a Data Engineer to design and maintain data pipelines in a hybrid environment in Vienna. The ideal candidate has a degree in Computer Science and experience with Databricks, Python, and Azure Data Factory. Responsibilities include collaboration with data teams, managing pipeline performance, and ensuring quality through testing and monitoring. This full-time position offers a competitive salary and promotes a work-life balance.

Qualifikationen

• Experience with Databricks, Python, and data modeling.
• Hands-on experience with Azure Data Factory and performance tuning.
• Strong communication skills and teamwork abilities.

Aufgaben

• Collaborate to build reliable data pipelines and products.
• Design and operate Databricks pipelines.
• Manage pipeline costs and performance.

Kenntnisse

Databricks

Python

SQL/NoSQL databases

Communication

Teamwork

Ausbildung

Degree in Computer Science or related field

Tools

Azure Data Factory

Spark SQL

Jobbeschreibung

WORKING IN THE MIDDLE OF VIENNA: EXCHANGING ACROSS EUROPE

Data & Analytics - Data Engineer (all genders)

Vienna | experienced | hybrid | full-time | all genders | asap | Data & Analytics

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

More About VIG

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, 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

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.

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 of our group!

Contact

I am looking forward to your application and I am at your disposal for questions.

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.

Apply now

Anne Cruciani
+43 50 350 - 74088
[e-mail]