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Overview
Airalo is seeking a Data Engineering Manager to lead the foundational backend of their data organization, managing a team of Data Engineers and shaping the hiring roadmap as the function grows. The ideal candidate will have a deep background with major cloud platforms and cloud-native data warehouses, and experience with orchestration tools, ELT pipelines, and distributed data processing frameworks.
Requirements
- 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams
- Experience with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift)
- Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink)
- Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation
- Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases
- Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines
Benefits & Compensation
- Generous PTO
- Wellness and learning allowances
- Annual Airalo Away retreat
Originally posted on Himalayas
About the Role
Airalo is seeking a Data Engineering Manager to lead the foundational backend of their data organization, managing a team of Data Engineers and shaping the hiring roadmap as the function grows. The ideal candidate will have a deep background with major cloud platforms and cloud-native data warehouse
Requirements
- 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams - Experience with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift) - Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink) - Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation - Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases - Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines
