Data Engineer

Kanadevia Inova; Zürich; Vor Ort; CHF 110.000 - 140.000; Vollzeit

Benefits dieser Stelle

Inova Academy

Excellent employment conditions

Central location with good transport

Zusammenfassung

Kanadevia Inova is seeking a Data Engineer to design, develop, and optimise scalable data pipelines and ETL processes using Snowflake, DBT, and Azure. You will build Streamlit applications and collaborate with data architects, product managers, analysts, and stakeholders to deliver data-driven solutions.

The role emphasizes data quality, governance, and cost-efficient operations, with opportunities for personal development through Inova Academy and a dynamic, international team.

Qualifikationen

• Bachelor's degree in Computer Science, IT, or related field with 2–5 years of data engineering experience.
• Strong SQL and Python programming; write maintainable code.
• Hands-on experience with Snowflake, DBT, and Azure cloud platforms and warehousing concepts.
• Excellent problem-solving, attention to detail, and data quality governance.
• Fluent English; German language skills are advantageous.

Aufgaben

• Design, develop, and optimise scalable data pipelines and ETL processes using Snowflake and its technology stack, enabling reliable ingestion, transformation, storage, and seamless access to data while ensuring high performance, data quality, and operational reliability
• Contribute to building intuitive Streamlit applications that transform data into valuable business solutions and insights
• Collaborate with data architects, product managers, analysts, and business stakeholders to understand requirements and deliver solutions that meet business needs
• Monitor and implement data quality measures to ensure accuracy, consistency, and compliance with data governance policies and security standards
• Continuously optimise data processes to improve performance, reduce costs, and maintain comprehensive documentation of pipelines and data models

Kenntnisse

SQL

Python

Data pipelines

Data modelling

Data governance

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Snowflake

DBT

Azure

Jobbeschreibung

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 scalable data solutions that drive business insights. You will work collaboratively within an agile environment to design, develop, and maintain robust data pipelines using Snowflake, DBT, and Azure. If you are passionate about data and eager to make a significant impact, we would love to hear from you.

• Design, develop, and optimise scalable data pipelines and ETL processes using Snowflake and its technology stack, enabling reliable ingestion, transformation, storage, and seamless access to data while ensuring high performance, data quality, and operational reliability
• Contribute to building intuitive Streamlit applications that transform data into valuable business solutions and insights
• Collaborate with data architects, product managers, analysts, and business stakeholders to understand requirements and deliver solutions that meet business needs
• Monitor and implement data quality measures to ensure accuracy, consistency, and compliance with data governance policies and security standards
• Continuously optimise data processes to improve performance, reduce costs, and maintain 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 proven experience in data engineering roles (ETL/ELT processes, data modelling, and pipeline development)
• Strong programming proficiency in SQL and Python, with demonstrated ability to write efficient, maintainable code
• Hands-on experience with Snowflake, DBT, and Azure cloud platforms, including knowledge of data warehousing concepts and best practices
• Excellent problem-solving abilities, attention to detail, and a commitment to implementing data quality measures and governance standards
• Fluent English communication skills (verbal and written) with the ability to collaborate effectively in international team environments; German language skills are advantageous.

Additional Information

• 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