Data Engineer

CLC Consulting; Wien; On-site; EUR 75,000 - 105,000; Full time

Job summary

JobsinAustria is seeking a Data Engineer to build the data infrastructure powering advanced analytics in Vienna. You will design and maintain Python-based data applications, develop scalable pipelines, ensure data quality, and collaborate in an autonomous environment.

This role offers strong ownership, minimal bureaucracy, and the opportunity to work on data-intensive problems for a growing international firm.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Data pipelines

ETL

PostgreSQL

NoSQL

APIs

AWS

Docker

Kubernetes

Airflow

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)