Analytics Engineer

Lime
Portugal
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Data governance","Collaboration","Data reliability","Observability","Audit readiness"]

Build and maintain high-throughput ETL/ELT pipelines for Lime’s enterprise analytics, financial reporting, and real-time business intelligence. Develop performance-tuned data transformations with Python, high-performance SQL, and dbt, while adding data ops best practices like CI/CD, version-controlled schemas, and automated testing. Partner with Finance and the ML Platform team to deliver reliable, audit-ready datasets with strong governance, lineage, and observability using scalable distributed systems.

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FursaFursa
Lime
Lime
2 days ago

Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Build and maintain high-throughput ETL/ELT pipelines for Lime’s enterprise analytics, financial reporting, and real-time business intelligence. Develop performance-tuned data transformations with Python, high-performance SQL, and dbt, while adding data ops best practices like CI/CD, version-controlled schemas, and automated testing. Partner with Finance and the ML Platform team to deliver reliable, audit-ready datasets with strong governance, lineage, and observability using scalable distributed systems.
Location: Portugal
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain high-throughput ETL/ELT pipelines for data ingestion, processing, and storage.
  • •Develop complex, performance-tuned data transformations using Python, high-performance SQL, and dbt.
  • •Implement data ops best practices including CI/CD for pipelines, version-controlled schemas, and automated testing.
  • •Improve data reliability and observability, including data quality and lineage tracking.
  • •Partner with the ML Platform team to provide clean, feature-rich datasets for model training and inference while supporting governance and access controls.

Key Requirements

  • •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 Snowflake.
  • •Expertise with Python and high-performance SQL for complex data transformations.
  • •Experience with workflow orchestration (Airflow) and distributed processing tech (Spark, Flink, or Kafka).
Experience:Data engineeringDistributed systems
Education:Bachelor's in Computer Science, Data Engineering
Skills:Data governanceCollaborationData reliabilityObservabilityAudit readiness
Tech Stack:PythonSQLDbtAWSSnowflakeAirflowSparkFlinkKafkaIcebergDebeziumTerraform

Company Brief

Lime
Lime operates a global shared electric vehicle network offering e-bikes and e-scooters for short urban trips, partnering with cities and platforms to expand micromobility and reduce car usage.
Industry: Mobility Platforms
Company Size: Large (251 to 1,000 employees)
Revenue: USD 500M to 1B
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Private Equity Backed
Headquarters: San Francisco, United States
Founded: 2017
Glassdoor
Glassdoor: 3.3
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