Junior Data Engineer - Data Platform (f/m/x)

Support Cloud Solutions: Assist in the transition to a cloud-based data platform, learning to innovate on our existing on-premise solutions.

Build & Engineer: Help with the migration and optimization of data flows using modern tools like Kafka, AWS S3, Snowflake, and Airflow.

Promote Data Governance: Learn about data governance practices to ensure data integrity and compliance with regulations.

Collaborate Across Teams: Work alongside data scientists, business analysts, and IT staff within our enthusiastic data community to enhance our technical skills.

Contribute to Performance: Aid in the development of a scalable and reliable data infrastructure with a focus on performance improvement.

Assist with Cost Management: Support efforts to manage infrastructure costs while maintaining system performance and reliability.

Eagerness to Learn: A strong desire to develop your skills in software or data engineering, with some foundational knowledge in building data systems.

Basic Technical Skills: Familiarity with Python (or Java), SQL, and an understanding of cloud services, particularly AWS

Hands-On Experience (Preferred): Any exposure to cloud-based data warehousing, especially Snowflake, and transformation frameworks like DBT is a plus. Knowledge of real-time data streaming, including Kafka, is also helpful.

Willingness to Grow: A genuine interest in learning about migrating data workflows to the cloud and transforming processes.

Basic Understanding of Governance: A growing awareness of data governance principles, including data quality and compliance.

Collaborative Spirit: A team player excited to learn, share ideas, and develop strong communication skills in English across our organization.