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Austria / Global

Data Engineer

Job Description

Data Engineer (w/m/d) | Build the data infrastructure powering advanced analytics!

Location: Vienna, Austria

Work model: Fully onsite

Are you passionate about building reliable data systems that enable complex analysis and research?

Do you enjoy solving challenging data engineering problems, working with large datasets, and building the foundations that help teams make better decisions?

Would you like to work in an environment where you have real ownership, minimal bureaucracy, and the freedom to build solutions your way?

If your answers are yes, then this opportunity could be a great fit!

Our client is a technology-driven financial services company with offices worldwide. Their teams combine in-depth research, advanced technology, and large-scale data analysis to solve complex business challenges and support data-driven decision-making.

Your Profile

3+ years of experience in **Data Engineering, Software Engineering, Platform Engineering, Data Science**, or a related technical field

Strong programming skills in **SQL** and **Python** in a data engineering context

Experience building and maintaining **data pipelines, ETL processes, and data applications**

Strong knowledge of relational databases (SQL/PostgreSQL) and experience with NoSQL databases

Experience creating and delivering APIs is a big plus

Familiarity with cloud and infrastructure technologies such as AWS, Docker, and Kubernetes is an advantage

Experience with tools like Apache Airflow or similar workflow orchestration frameworks is a plus

Strong analytical thinking and the ability to independently solve complex technical problems

Curious, proactive, and comfortable working in a highly autonomous environment

Your Role

Build and maintain the data infrastructure supporting the business

Develop, test, and optimize **Python-based data applications**, frameworks, and services

Design reliable pipelines to collect, process, store, and distribute large datasets

Improve data platforms, libraries, and internal frameworks to increase team efficiency

Ensure data quality, reliability, and accessibility across the organization

Contribute to technical documentation, code reviews, and production support

Take ownership of solutions from idea to implementation

Why This Role?

Work on intellectually challenging problems in a data-intensive environment

Collaborate with highly talented professionals

Build systems that directly support real-world business-critical decisions

Enjoy a high level of autonomy, ownership, and technical freedom

Work in a flat organization with minimal bureaucracy and no unnecessary processes

Join a growing international firm where engineering excellence and curiosity are highly valued

Annual gross salary

STARTS from €75,000 (depending on your experience and skills)

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