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