Data Engineer

Lime; Canada; On-site; CAD 121,000 - 147,000; Full time

Benefits offered by this job

Equity

Bonus opportunities

Job summary

Zoomcar is seeking a Data Engineer to design, build, and maintain data pipelines remotely from Canada. You will work on complex data challenges, ensuring high-quality data processing and governance.

The ideal candidate has a Bachelor’s or Master’s degree in Computer Science or related fields and 2+ years of experience in data engineering. You should have proficiency in Python, SQL, and cloud data stacks, especially AWS.

Competitive salary range: CA$121K – CA$147K with equity and bonus options included.

Qualifications

• 2+ years of experience in data engineering and distributed systems.
• Expertise in building and scaling data stacks on cloud providers.
• Hands-on experience with data transformation tools.

Responsibilities

• Design and maintain high-throughput ETL/ELT pipelines.
• Develop complex and performance-tuned data transformations.
• Implement data ops best practices for pipelines.

Skills

Python

SQL

Data Engineering

ETL/ELT pipelines

Cloud Providers (AWS)

Snowflake

Workflow Orchestration (Airflow)

Distributed Systems (Spark, Flink, Kafka)

Data Governance

Infrastructure-as-Code (Terraform)

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Job description

Location

Canada

Employment Type

Full time

Location Type

Remote

Department

Engineering

Compensation

• CA$121K – CA$147K • Offers Equity • Offers Bonus

As a global leader in micromobility, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me.

The Data Engineering team is 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. We are looking for a Data Engineer to join us in solving complex data scaling, quality, and governance challenges.

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

What You'll Do:

• 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.
• Contribute to our technical strategy and how we can scale to support future business needs.
• Implement data ops best practices, including CI/CD for data pipelines, version-controlled schemas (dbt), and automated testing.
• Help drive data reliability and observability strategy, including improving data quality and lineage tracking.
• Work with distributed processing systems like Spark, Flink, or Kafka to support scalable batch and real-time operational analytics.
• Partner with the ML Platform team to prepare and provide clean, feature-rich datasets for model training and inference.
• Ensure data stewardship by contributing to documentation, discoverability, and implementing robust data privacy and access controls.

About You:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
• 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.
• Familiarity with distributed processing technologies like Spark, Flink, or Kafka.
• Understanding of data modeling, ETL pipelines, and experience with data transformation tools like dbt.
• Familiarity with modern data governance tools and practices (cataloging, lineage, and PII masking).
• Experience with Iceberg, Debezium, or Infrastructure-as-Code tools like Terraform for managing data infrastructure.

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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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 [e-mail] for assistance.

Compensation Range: CA$121K - CA$147K