This is a project focused on the design and implementation of an end-to-end ETL process and secure data migration via a proxy server to an SAP environment hosted in Canada. We are looking for an experienced Data Engineer who will be a key person in the design of the integration architecture and the implementation of scalable data pipelines using Snowflake and Databricks.

• Design and implementation of end-to-end ETL processes
• Data migration via secure proxy infrastructure to SAP environment in Canada
• Development and orchestration of data pipelines in Databricks and Snowflake
• Programming of transformation logic in Python
• Implementation of data quality checks, validation and sanity check mechanisms
• Logging, monitoring and auditability of data transfers
• Performance optimization

• At least 2 years of experience in Databricks
• Demonstrable experience with ETL pipeline design and development
• Strong experience with Databricks and practical knowledge of Snowflake
• Advanced knowledge of Python and CI/CD
• Experience with data migration to SAP or integration of enterprise systems
• Knowledge of security principles in data transfer
• Orientation to data quality, auditability and stable production operation
• Complex ETL pipeline (across multiple tables with various dependencies) and query optimization (in terms of performance and cost)
• Experience with reading Delta Share tables
• Experience with Enterprise GitHub Actions, JFrog an advantage

• Great colleagues and fully flexible work policy
• Career coaching and development
• Flexible working hours
• Technical training and workshops
• Technical equipment for work (Mac / Windows)
• Company parties
• Company psychologist for mental well-being
• Multisport card