Data & Analytics Vienna Data & Analytics - Data Engineer (all genders)

Vienna Insurance Group; Osterreich; On-site; PEN 142,347 - 170,504; Full time

Job summary

A leading insurance company is seeking an experienced Data Engineer to join their team in Peru. This full-time, hybrid role involves collaborating with data scientists to build reliable pipelines, designing Databricks integrations, and ensuring data quality through robust processes. Applicants should have a degree in a relevant field and hands-on experience with data technologies such as Python and Azure Data Factory. The company values diversity and offers competitive salaries based on qualifications.

Qualifications

• Hands-on with Databricks, Python, and SQL.
• Experience with Azure Data Factory and performance tuning.
• Excellent communication skills and teamwork.

Responsibilities

• Collaborate to build maintainable data pipelines.
• Design and operate Databricks pipelines using Python.
• Ensure pipeline quality and manage platform costs.

Skills

Databricks

Python

SQL

Data modeling

Teamwork

DataOps mindset

Performance tuning

Education

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

Tools

Azure Data Factory

Spark SQL

Lakeflow Declarative Pipelines

Job description

Data & Analytics - Data Engineer (all genders)

Seniority experienced

Working mode hybrid

Position Type full-time

Gender all genders

Start date asap

Data & Analytics

Your Tasks

• Collaborate with data scientists, analysts, and product owners to build reliable, maintainable pipelines and products
• Design, build, and operate Databricks pipelines using Python, Lakeflow Declarative Pipelines, and Jobs/Workflows
• Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases
• Ensure pipeline quality via versioning, testing, monitoring, SLAs/SLOs, and automated deployments
• Manage platform costs and pipeline performance.
• Support establishment of standards, reusable templates, and documentation for group-wide use

Qualifications

• Degree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent experience
• Hands‑on with Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, and Jobs/Workflows
• Experience with Azure Data Factory, data modeling, performance tuning, and production data systems
• DataOps mindset: versioning, testing, automated deployments, observability, robust release processes
• Excellent communication and teamwork; independent, solution‑oriented; very good English; German is a plus

Benefits may vary between VIG companies

Based on the legal requirements, we inform about the monthly minimum salary according to the collective agreement of EUR 3,556.03 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.

As diverse as you are – your perspectives at the Vienna Insurance Group

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