Data Engineer — Build Scalable Pipelines Onsite

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

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,