Related skills
snowflake python databricks dbt airflow📋 Description
- Lead and grow the data engineering team with mentorship.
- Own customer data integrations across product lines, on time.
- Build core dataflows powering new Afresh products.
- Improve integration velocity with AI tooling and standard architecture.
- Improve data quality and pipeline reliability with automation.
- Collaborate with Solutions Eng, Product, and customer teams to scope work.
🎯 Requirements
- 3+ years of engineering management experience.
- Python, PySpark, SQL, dbt, Airflow, Databricks/Snowflake.
- Track record shipping data integrations or ETL at scale.
- Experience managing multiple concurrent projects with stakeholders.
- Improve team velocity via tooling, processes, or automation.
- Enthusiasm for AI-forward engineering and agentic workflows.
🎁 Benefits
- Mission-driven company reducing food waste.
- Work on real-world data problems with visible impact.
- Genuine AI-forward engineering culture.
- Lead a team during rapid customer growth.
- Collaborative, supportive environment with great people.
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