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Data & Analytics - Data Engineering Lead (all genders)

Vienna Insurance Group

Wien · Hybrid Lead From €4k/mo 6d ago

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

Flexi TimeHome-OfficeLearning & DevelopmentLife Balance & Family SpecialsModern Workspace & CanteenHealth & Sports Offers

Skills

Azure Data FactoryDatabricksDeclarative PipelinesJobs/WorkflowsLakehouseNoSQLPythonSpark SQLSQL

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