Data Engineer (w/m/d)

📊 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 €70,000 (depending on your experience and skills)