Data Engineer

• Design, build, and maintain high-throughput ETL/ELT pipelines for data ingestion, processing, and storage solutions.
• Develop complex, performance-tuned data transformations using Python, high-performance SQL, and tools like dbt.
• Implement data ops best practices, including CI/CD for data pipelines, version-controlled schemas (dbt), and automated testing.
• Work with distributed processing systems like Spark, Flink, or Kafka to support scalable batch and real-time operational analytics.

By building and scaling the data infrastructure that powers Lime's global fleet, you will directly contribute to making transportation shared, affordable, and carbon-free, reducing reliance on cars and lowering emissions.

• 2+ years of experience in data engineering and distributed systems.
• Hands-on experience building and scaling data stacks on cloud providers (AWS preferred), including experience with Snowflake.
• Expertise in developing and debugging complex data transformations using Python and high-performance SQL.
• Experience with workflow orchestration tools such as Airflow and distributed processing technologies like Spark, Flink, or Kafka.

Base salary range (Canada) determined by location and experience; discretionary annual performance bonus opportunities and equity may be included. Remote work within Canada.

Lime is a global leader in micromobility on a mission to build a future where transportation is shared, affordable, and carbon-free. It has powered over one billion rides in nearly 30 countries.