Kanadevia Inova is a global leader in waste-to-X technology. Join the Data Products Team to design, develop, and maintain scalable data pipelines that support business insights. You will build ETL/ELT processes using Snowflake and its ecosystem, including DBT and Azure, to enable reliable ingestion, transformation, storage, and easy data access with a focus on performance, quality, and governance.

You will contribute to building intuitive Streamlit applications that translate data into valuable business solutions, and collaborate with data architects, product managers, analysts, and stakeholders to understand requirements and deliver solutions that meet business needs. You will monitor data quality, implement governance and security standards, and continuously optimize data workflows while maintaining comprehensive documentation of pipelines and data models.

Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field, with 2–5 years of data engineering experience (ETL/ELT, data modeling, and pipeline development). Proficiency in SQL and Python is required, along with hands-on experience with Snowflake, DBT, and Azure. Strong problem-solving abilities, attention to detail, and a commitment to data quality and governance. Fluent English communication skills are essential; German language skills are advantageous.

Location and arrangement: Zurich, Switzerland. Work arrangement: On-site.

We offer: a responsible and diversified field of activity, an international team, opportunities for personal development through our Inova Acade

Kanadevia Inova is a global leader in waste-to-X technology. Join the Data Products Team to design, develop, and maintain scalable data pipelines that support business insights. You will build ETL/ELT processes using Snowflake and its ecosystem, including DBT and Azure, to enable reliable ingestion, transformation, storage, and easy data access with a focus on performance, quality, and governance.

You will contribute to building intuitive Streamlit applications that translate data into valuable business solutions, and collaborate with data architects, product managers, analysts, and stakeholders to understand requirements and deliver solutions that meet business needs. You will monitor data quality, implement governance and security standards, and continuously optimize data workflows while maintaining comprehensive documentation of pipelines and data models.

Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field, with 2–5 years of data engineering experience (ETL/ELT, data modeling, and pipeline development). Proficiency in SQL and Python is required, along with hands-on experience with Snowflake, DBT, and Azure. Strong problem-solving abilities, attention to detail, and a commitment to data quality and governance. Fluent English communication skills are essential; German language skills are advantageous.

Location and arrangement: Zurich, Switzerland. Work arrangement: On-site.

We offer: a responsible and diversified field of activity, an international team, opportunities for personal development through our Inova Acade