Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.

We’re looking for an experienced Data Engineering Manager to lead our Data Engineering team. You will be responsible for architecting, building, and scaling the foundational data infrastructure that powers our global fleet’s analytics, machine learning models, and real-time business intelligence.

You’ll oversee the core data warehouse, ETL pipelines, and data governance functions that enable our Data Scientists and Analysts to derive insights efficiently and reliably. This role combines strategic leadership with deep expertise in data modeling and distributed systems, making it ideal for someone passionate about turning massive datasets into a competitive advantage.

This is a remote position with a requirement for candidates to reside in Canada to maintain effective collaboration across teams.

What You’ll Do:

• Lead, mentor, and scale a team of 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.

• Drive innovation in ML-readiness by partnering with the ML Platform team to provide clean, feature-rich datasets for model training and inference.

• Foster a culture of data stewardship, ensuring data is discoverable, well-documented, and accessible across the organization.

• Partner with Security, Compliance, and Legal teams to implement robust data privacy and SOX-compliant access controls.

About You:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.

• 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.

• Strong understanding of data modeling and experience managing "Data as a Product" for internal consumers.

• Familiarity with data governance tools and practices (cataloging, lineage, and PII masking).

• Proven track record managing teams that deliver scalable, resilient data architectures in fast-growing environments.

• Excellent communication skills with the ability to translate complex data challenges into business impact for non-technical stakeholders.

The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.

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If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.

Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email recruiting-operations@li.me for assistance.

Compensation Range: CA$172K - CA$237K