Data Engineering Manager

• Lead, mentor, and scale a team of data engineers focused on high-throughput data ingestion, processing, and storage solutions.
• Own the data roadmap by defining technical strategy, setting priorities for data architecture, and aligning with product and business stakeholders.
• Drive data reliability and observability strategy to ensure high data quality, lineage tracking, and uptime for mission-critical pipelines.
• Champion best practices in data ops, including version-controlled schemas (dbt), CI/CD for data pipelines, and automated testing.

By building scalable data infrastructure, this role enables Lime to optimize its shared micromobility fleet, reducing carbon emissions and making transportation more affordable and accessible in cities worldwide.

• 7+ years of experience in data engineering and distributed systems, with at least 2+ years in a technical leadership or management role.
• Proven success building and scaling modern data stacks on cloud providers (AWS preferred), including experience with Snowflake.
• Expertise in distributed processing (Spark, Flink, or Kafka) and workflow orchestration tools such as Airflow.
• Hands-on experience developing and debugging complex data transformations using Python and high-performance SQL.

Base salary range determined by location and experience; total compensation may include discretionary annual performance bonus opportunities and equity. Remote work within Canada.

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents, on a mission to build a future where transportation is shared, affordable and carbon-free.