Lead Data Engineer — Databricks & Azure, Hybrid Vienna

Vienna Insurance Group; Wien; Hybrid; EUR 80.000 - 120.000; Vollzeit

Benefits dieser Stelle

Flexi working hours

Home office

Learning & development

Life balance

Modern workspace & canteen

Health & sports

More benefits

Zusammenfassung

Vienna Insurance Group in Vienna is seeking a Data & Analytics - Data Engineering Lead to guide a growing data engineering team and coordinate work with data scientists, engineers and product owners.

You will design, build, and operate scalable Databricks pipelines using Python, Declarative Pipelines, and Jobs/Workflows, while leveraging Azure Data Factory for ingestion and orchestration and tuning SQL/NoSQL data stores. This is a full-time hybrid role.

Qualifikationen

• 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) and Declarative Pipelines/Jobs.

Aufgaben

• 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.

Kenntnisse

Leadership

Communication

Teamwork

English

German

Ausbildung

Degree in Computer Science / Data Engineering/Data Science

Tools

Databricks

Python

Spark SQL

Azure Data Factory

Declarative Pipelines

Jobs/Workflows

Jobbeschreibung

Vienna Insurance Group in Vienna is seeking a Data & Analytics - Data Engineering Lead to guide a growing data engineering team and coordinate work with data scientists, engineers and product owners.

You will design, build, and operate scalable Databricks pipelines using Python, Declarative Pipelines, and Jobs/Workflows, while leveraging Azure Data Factory for ingestion and orchestration and tuning SQL/NoSQL data stores. This is a full-time hybrid role.