Onsite Data Engineer: Build Scalable Data Pipelines & Analytics

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

Zusammenfassung

CLC Consulting in Vienna, Austria is seeking a Data Engineer to build the data infrastructure powering advanced analytics. The role is fully onsite and focuses on reliable data systems, large datasets, and autonomous solution design.

You will work in a highly analytical, ownership-driven environment, contributing to data pipelines, APIs, and cloud/containers, with direct impact on business decisions.

Qualifikationen

• 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 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.

Aufgaben

• Build and maintain the data infrastructure powering analytics.
• 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.

Kenntnisse

Data engineering

Python

SQL

APIs

Analytical thinking

Autonomy

Tools

Docker

Kubernetes

Apache Airflow

Jobbeschreibung

CLC Consulting in Vienna, Austria is seeking a Data Engineer to build the data infrastructure powering advanced analytics. The role is fully onsite and focuses on reliable data systems, large datasets, and autonomous solution design.

You will work in a highly analytical, ownership-driven environment, contributing to data pipelines, APIs, and cloud/containers, with direct impact on business decisions.