Data & Analytics - Data Engineering Lead (all genders)

oeh; Osterreich; Presencial; PEN 156.056 - 186.924; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexi Time & Home-Office

Learning & Development

Health & Sports Offers

Descripción de la vacante

A leading insurance group in Vienna is seeking a Data Engineering Lead with strong leadership experience and expertise in Databricks and Azure Data Factory. In this hybrid full-time role, you will lead a team, design scalable data pipelines, and ensure high-quality data delivery. The minimum gross salary is EUR 3,910.79 per month for full-time work, with opportunities for growth and a diverse work environment.

Formación

• 5+ years in data engineering with leadership experience.
• Hands-on with Databricks, Python, Spark SQL.
• Experience with Azure Data Factory and performance tuning.

Responsabilidades

• Lead and grow a data engineering team.
• Design and operate scalable Databricks pipelines.
• Ensure pipeline quality via versioning and monitoring.

Conocimientos

Team leadership

Data engineering

Databricks (Python, Spark SQL)

Azure Data Factory

DataOps mindset

Excellent communication

Educación

Degree in Computer Science, Software Engineering, Data Engineering/Data Science

Herramientas

Databricks

SQL/NoSQL databases

Descripción del empleo

Data & Analytics - Data Engineering Lead (all genders)

Vienna

experienced

hybrid

full-time

all genders

asap

Data & Analytics

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 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
• 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

Based 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.

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!

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.

Barbara Zierler

[phone]

[e-mail]