Your tasks

As a Snowflake Data Engineer, you will support our clients in solving complex business challenges using data-driven technologies. You will develop modern data platforms and unlock added value in key business areas such as supply chain, operations, procurement, and finance, and will be responsible for the following tasks:

• In this role, you will develop and operate scalable big data pipelines in cloud environments, with a focus on the Snowflake Cloud Data Warehouse.
• You analyze, modernize, and migrate existing on-premises ETL processes to future-proof cloud platforms.
• You develop business requirements together with customers and relevant stakeholders and support their technical implementation.
• For optimal performance, you develop powerful data models, perform performance tuning, and utilize advanced Snowflake features.
• You can implement modern data pipelines for batch and real-time processing using technologies such as Kafka, NiFi, DBT, Matillion, Palantir or Informatica.

Your skillset

• Successfully completed studies in computer science, business informatics or a comparable qualification as well as 4–7 years of professional experience in the Big Data Engineering, Data Warehousing or ETL environment.
• Solid knowledge of Azure and/or AWS data platforms, as well as experience in data modeling, distributed systems, SQL and NoSQL databases, and batch and real-time data processing.
• Excellent German and English skills (at least C1 level) as well as practical experience with Python, Java or Scala, agile delivery methods, DevOps, containerization, Apache Iceberg and data formats such as ORC, Parquet and AVRO.
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