Data Engineer (w/m/d)

CLC Consulting; Wien; On-site; EUR 63,000 - 77,000; Full time

Job summary

CLC Consulting in Austria is seeking a Data Engineer (w/m/d) to build the data infrastructure powering advanced analytics. This fully onsite role focuses on reliable data systems and scalable pipelines in a data-driven environment.

You will design, develop, test, and optimize Python-based data applications, build data pipelines, and ensure data quality across the organization, with autonomy and ownership. The ideal candidate has 3+ years in data engineering, SQL and Python, experience with AWS,

Qualifications

• 3+ years of experience in Data Engineering or related field
• Strong programming skills in SQL and Python in a data engineering context
• Experience building and maintaining data pipelines, ETL processes, and data applications
• Good knowledge of relational databases (SQL/PostgreSQL) and NoSQL databases
• Experience creating and delivering APIs is a plus
• Familiarity with cloud and infra technologies such as AWS, Docker, and Kubernetes is an advantage
• Experience with workflow orchestration tools like Apache Airflow is a plus
• Strong analytical thinking and the ability to solve complex technical problems
• Autonomous, proactive, and capable of owning solutions end-to-end
• Build and maintain data infrastructure supporting analytics

Responsibilities

• Build and maintain data infrastructure powering analytics
• Develop, test, and optimize Python-based data applications and frameworks
• Design reliable pipelines to collect, process, store, and distribute large datasets
• Improve data platforms, libraries, and internal frameworks
• Ensure data quality, reliability, and accessibility across the organization
• Contribute to technical documentation, code reviews, and production support
• Take ownership of data solutions from idea to implementation

Skills

SQL

Python

Tools

Apache Airflow

AWS

Docker

Kubernetes

Job description

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

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.

• 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
• 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, with the potential to overpay a more senior candidate)