About this role
The team is seeking a mid-senior level Data Engineer / Analytics Engineer with strong hands-on experience in dbt and Snowflake. This role will support a sustainability-focused team and internal engineering stakeholders by translating business requirements into scalable, production-ready data models and transformation pipelines.
Key Responsibilities:
- Build and maintain data transformation workflows using dbt.
- Develop scalable and optimized data models in Snowflake.
- Partner with business stakeholders to understand requirements and translate them into technical outputs.
- Collaborate with internal engineers to align with data standards and best practices.
- Write clean, maintainable SQL transformations with appropriate testing and documentation.
- Troubleshoot production issues and support ongoing enhancements.
Required Qualifications:
- 3-8 years of experience in data engineering, analytics engineering, or similar roles.
- Strong hands-on experience with dbt.
- Strong experience working with Snowflake.
- Advanced SQL skills, with performance tuning and scalable modeling experience preferred.
- Strong communication skills and ability to work directly with business teams.
- Ability to quickly understand requirements and deliver independently.
Nice to Have:
- Experience with Power BI.
- Familiarity with sustainability/ESG reporting use cases.
- Experience with Git, CI/CD workflows, and data quality checks.
What We Offer:
Join a talented international team in a friendly, creative, and dynamic environment that fosters collaboration and support. Opportunities for professional growth and development. Enjoy the flexibility of working 100% remotely from anywhere in the world while contributing to cutting-edge projects. The right candidate will receive training (all training and probation periods offered at the team are fully paid; we value all candidates' time).