Senior Data Engineer

CLC Consulting; Wien; Vor Ort; EUR 75.000 - 105.000; Vollzeit

Zusammenfassung

CLC Consulting is seeking a Senior Data Engineer (w/m/d) to build the data infrastructure powering advanced analytics. This fully onsite role offers ownership, minimal bureaucracy, and the freedom to build solutions your way.

You will work with large datasets, develop and maintain Python-based data applications, design reliable pipelines, and collaborate with international teams to enable data-driven decisions. Strong focus on reliability, performance, and data quality.

Qualifikationen

• 3-5+ years of experience in Data Engineering, Software Engineering, Data Science, or a related technical field
• Strong programming skills in Python, especially 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 designing reliable, maintainable software solutions with a strong engineering mindset
• Familiarity with cloud and infrastructure technologies such as AWS, Docker, 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
• Fluent in English and German

Aufgaben

• 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

Kenntnisse

Python

SQL/PostgreSQL

NoSQL

ETL

Cloud & Infra

Airflow

Docker

Kubernetes

English

German

Data infrastructure

Problem solving

Tools

Apache Airflow

AWS

Docker

Kubernetes

Jobbeschreibung

Senior 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.

• 3-5+ years of experience in Data Engineering, Software Engineering, Data Science, or a related technical field
• Strong programming skills in Python, especially 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 designing reliable, maintainable software solutions with a strong engineering mindset
• Familiarity with cloud and infrastructure technologies such as AWS, Docker, 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
• Fluent in English and German
• 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 experience and skills)