Data Engineer (w/m/d)

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

Job summary

CLC Consulting seeks a Data Engineer (w/m/d) to build the data infrastructure powering advanced analytics in Vienna. The role is fully onsite and focuses on reliable data systems, large datasets, and autonomous problem solving.

You will design and maintain data pipelines, Python-based data applications, and APIs, working with SQL, PostgreSQL, and NoSQL. Familiarity with AWS, Docker, Kubernetes, and Apache Airflow is a plus, enabling ownership of end-to-end solutions.

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.
• 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.

Responsibilities

• Build and maintain the data infrastructure powering analytics.
• Develop, test, and optimize Python-based data applications and services.
• Design reliable pipelines to process large datasets.
• Improve data platforms and internal frameworks.
• Ensure data quality, reliability, and accessibility.
• Contribute to documentation, code reviews, and production support.

Skills

SQL

Python

Data pipelines

PostgreSQL

NoSQL

APIs

AWS

Docker

Kubernetes

Airflow

Analytical thinking

Autonomy

Tools

Apache Airflow

Docker

Kubernetes

PostgreSQL

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)