Senior Data Engineer with AWS and Snowflake

Responsibilities:

• Design, build, and maintain data pipelines and data transformation workflows using modern data engineering tools
• Develop and optimize dbt models and flows for data processing and analytics use cases
• Work with Snowflake and AWS to ensure scalable and efficient data solutions
• Implement automation, monitoring, and data quality controls across data pipelines
• Collaborate with teams to support data platform improvements and AI-related initiatives
• Manage and maintain code in GitHub repositories, following best practices for version control
• Support the development and maintenance of data warehouse (DWH) solutions

Requirements:

• Strong experience with Snowflake and AWS
• Proficiency in dbt and experience building data transformation workflows
• Experience with Airflow or similar orchestration tools
• Strong knowledge of data modelling and data warehousing (DWH) concepts
• Experience with version control systems (e.g., GitHub)
• Ability to design and implement automated and scalable data solutions
• Very good command of English, both spoken and written

Nice to have:

• Experience or interest in Generative AI and Machine Learning

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program