Data & Analytics Vienna Data & Analytics - Data Engineering Lead (all genders)

Vienna Insurance Group; Osterreich; On-site; 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

Data & Analytics - Data Engineering Lead (all genders)

Seniority experienced

Working mode hybrid

Position Type full-time

Gender all genders

Start date 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
• 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.

Benefits may vary between VIG companies

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 are committed to promoting diversity in the work environment and are proud to offer fair opportunities for all as an employer.

I am looking forward to your application.

The CV and cover letter are most important to us. Other documents including certificates, letters of recommendation and references can be submitted at a later date.