Data Engineering Lead - Databricks & Azure Pipelines

Vienna Insurance Group; Osterreich; Hybrid; PEN 156,548 - 187,514; Full time

Job summary

A leading insurance provider is seeking a Data Engineering Lead (all genders) to manage a data engineering team in a hybrid working environment. Responsibilities include designing and operating scalable data pipelines using Databricks and Azure Data Factory, overseeing project coordination, and ensuring high pipeline quality through rigorous testing and monitoring. The position requires significant experience in data engineering and excellent leadership skills. Competitive salary based on qualifications will be discussed during the interview.

Qualifications

• 5+ years in data engineering with leadership experience.
• Hands‑on with Databricks (Python, Spark SQL, Lakehouse).
• Excellent leadership, communication, teamwork.

Responsibilities

• Lead and grow a data engineering team.
• Design, build, and operate scalable Databricks pipelines.
• Manage platform costs and pipeline performance.

Skills

Leadership

Databricks

Python

Azure Data Factory

SQL/NoSQL databases

DataOps mindset

Communication

Teamwork

Education

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

Tools

Databricks

Azure Data Factory

SQL

NoSQL

Job description

A leading insurance provider is seeking a Data Engineering Lead (all genders) to manage a data engineering team in a hybrid working environment. Responsibilities include designing and operating scalable data pipelines using Databricks and Azure Data Factory, overseeing project coordination, and ensuring high pipeline quality through rigorous testing and monitoring. The position requires significant experience in data engineering and excellent leadership skills. Competitive salary based on qualifications will be discussed during the interview.