Senior Data Engineer with AWS and Snowflake Snowflake, AWS, dbt, airflow, data modelling, DWH W[...]
Summary
Build and maintain scalable data pipelines and transformations using Snowflake, AWS, dbt, and Airflow to power analytics and AI initiatives.
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
Personal Consulting Agency (License No. 4642)