Senior Data Engineer — Data Platforms & Governance Leader

Kanadevia Inova; Zürich; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Central location

International team

Inova Academy

Competitive compensation

Modern infrastructure

Zusammenfassung

Kanadevia Inova, a global innovation leader in waste infrastructure, seeks a Senior Data Engineer to design scalable data pipelines, govern data quality, and mentor the Data Products Team in Zürich. You will build and optimise ETL processes with Snowflake, ensure data quality, and enable data-driven decision-making across the business.

In this role you will collaborate with data architects, product managers, analysts, and business stakeholders, and advance our data governance practices while

Qualifikationen

• Bachelor's degree in Computer Science, Information Technology, or a related field; 5+ years of experience in data engineering, ETL/ELT, data modelling, and modern data platforms.

Aufgaben

• Design and optimise scalable data pipelines and ETL processes using Snowflake for analytics and reporting.
• Lead data governance capabilities and promote data quality and master data management best practices.
• Collaborate with data architects, product managers, analysts, and business stakeholders to deliver data solutions aligned with business objectives.
• Coach and mentor data engineers, encouraging technical excellence and continuous improvement across data platforms.

Kenntnisse

SQL

Python

Data governance

ETL/ELT

Stakeholder engagement

Ausbildung

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

Snowflake

DBT

Azure

Jobbeschreibung

Kanadevia Inova, a global innovation leader in waste infrastructure, seeks a Senior Data Engineer to design scalable data pipelines, govern data quality, and mentor the Data Products Team in Zürich. You will build and optimise ETL processes with Snowflake, ensure data quality, and enable data-driven decision-making across the business.

In this role you will collaborate with data architects, product managers, analysts, and business stakeholders, and advance our data governance practices while