Senior Data Engineer
Kanadevia Inova · Zurich, Zurich, Switzerland
Services for Renewable Energy · 1,001-5,000 employees
About the role
Design and optimize scalable data pipelines and ETL processes using Snowflake while leading data governance initiatives. Collaborate with cross-functional teams to deliver sustainable data solutions and mentor fellow engineers to drive technical excellence.
What they look for
Requirements
Requires a bachelor's degree in Computer Science or a related field with at least 5 years of experience in data engineering and modern data platforms. Candidates must possess strong proficiency in SQL, Python, Snowflake, and Azure, alongside excellent communication and stakeholder management skills.
Benefits
Full description
Company Description
Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation.
Transforming Waste into Value
At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond.
Job Description
Join our Data Products Team to build and shape the future of our enterprise data platform and data governance capabilities. As a Senior Data Engineer, you will combine deep technical expertise with leadership and stakeholder engagement to deliver scalable data solutions that drive business value. You will play a key role in establishing data governance practices, mentoring colleagues, and guiding business stakeholders towards effective data-driven decision-making.
Job Description
- Design and optimise scalable data pipelines and ETL processes using Snowflake, ensuring reliable, high-quality data for analytics and business reporting.
- Take a leading technical role in advancing our data governance capabilities, promoting best practices for data quality or master data management.
- Collaborate with data architects, product managers, analysts, and business stakeholders to deliver sustainable data solutions aligned with business objectives.
- Coach and support business users and data owners in adopting data governance principles and leveraging enterprise data effectively.
- Mentor fellow data engineers, foster technical excellence, and drive continuous improvement across data platforms, processes, and standards.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field, with 5+ years of experience in data engineering, ETL/ELT development, data modelling, and modern data platforms.
- Strong proficiency in SQL and Python, with the ability to design scalable, maintainable, and high-performing data solutions.
- Extensive hands-on experience with Snowflake, DBT, and Azure, combined with a solid understanding of data warehousing and cloud architectures.
- Strong knowledge of data governance, data quality management, and enterprise data management practices.
- Excellent communication, stakeholder management, coaching, and mentoring skills, with fluent English; German is an advantage.
Additional Information
We offer
- Responsible challenge with diversified field of activity
- Team-oriented working atmosphere in an international Company
- Personal development opportunities through own Inova Academy
- Opportunity to gain an insight into various technical disciplines
- Excellent employment conditions
- Attractive working place (central, good transport links)
- Modern infrastructure
For HR agencies: Please note that we do not accept applications coming from agencies. Thank you.
