Data Engineer | Data Engineer (m/f/x)
Job Summary
As a Data Engineer within the Data Platform team, you will play a pivotal role in revolutionizing the company's data infrastructure by leading the transition from on-premise solutions to a modern, cloud-based platform. Your daily responsibilities include architecting scalable cloud solutions, optimizing data flows using tools like Kafka and Snowflake, and ensuring high system availability and performance. You will be a key driver of data governance, establishing practices for integrity and regulatory compliance while collaborating closely with data scientists and business analysts. This position is particularly attractive for professionals who enjoy high-impact migration projects, such as transforming Spark-based processes into Snowpark or DBT jobs. The role offers a vibrant community environment with modern benefits, including remote work options, trust-based working hours, and a focus on both technical innovation and cost-effective infrastructure management.
Required Skills
Education
Not specified
Experience
- 5+ years in software or data engineering with a focus on building resilient data systems
- Extensive experience in cloud-based data warehousing and transformation frameworks
- Proven track record in migrating complex data workflows from on-premise to cloud environments
- Experience transforming Spark-based processes in Scala into Snowflake or DBT environments
- Professional experience in real-time data streaming and data governance practices
Languages
Additional
- The role is a full-time, permanent position (unbefristet). Candidates must be able to collaborate across a vibrant data community and communicate effectively in English.