Analytics Engineer
L
LimeShared Micromobility
This is a remote position with a requirement for candidates to reside in Portugal to maintain effective collaboration across teams.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years of experience in data engineering and distributed systems.
- Required Skills
- PythonSQLKafkaSnowflakeAirflowSparkTerraformNetSuitedbt
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, including 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 data transformation tools like dbt.
- Experience with modern data governance tools, practices, cataloging, lineage, and PII masking.
- Familiarity with Infrastructure-as-Code tools like Terraform.
- Understanding of ERP fundamentals (NetSuite preferred) and General Ledger/sub-ledger complexity.
- Experience working within strict internal controls such as SOX or audit readiness.
Responsibilities
- 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, and automated testing.
- 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.
- Collaborate with Accounting, FP&A, and Finance Ops to translate close workflows and audit evidence needs into concrete data requirements.
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