Data Engineer — Audience Logic

The role

Singapore-headquartered data and AI company building the Audience Logic platform for ad tech, which ingests, normalises, and enriches consented data from a global partner network.

• The company is small, fast, and profitable.
• The Data Engineer will own the entire data pipeline, from ingestion to transformation and quality checks.
• This is a hands-on build role on AWS, involving PySpark and Glue jobs, managing billions of location and behavioural records.
• Key responsibilities include building and operating partner data ingestion pipelines, working with external engineering teams, onboarding new partners, processing and transforming large-scale datasets using PySpark on AWS Glue, designing data storage for performance and cost, developing location intelligence features, implementing automated data quality checks, and owning AWS infrastructure for the data platform while ensuring PDPA/GDPR compliance.

Requirements

• Essential: 4+ years building production data pipelines; strong Python and hands-on PySpark at scale; production experience with AWS Glue (job authoring, Data Catalog, crawler configuration); solid AWS background including S3, Athena, Lambda, IAM, Step Functions or equivalent orchestration; strong SQL for complex analytical queries; demonstrable experience with location data/lat-long analysis (geospatial joins, geohashing/H3, POI matching, coordinate systems); track record of owning data quality; comfortable working directly with external data partners on feed specifications and troubleshooting; eligible to work in Singapore or eligible for an Employment Pass.
• Advantageous: GCP/BigQuery experience; background in Ad tech, DMP/CDP, mobility data or telco data; experience with dbt, Airflow, Iceberg/Delta; Infrastructure-as-code (Terraform, CDK).

Skills we're looking for