About the company
A product company building an AI-driven supply-chain platform used by large manufacturers, retailers and 3PLs for demand planning, inventory optimisation, transportation and warehouse visibility.
About the role
Own the data platform that ingests customer ERP, warehouse and transport data and turns it
into clean, modelled datasets for analytics and ML forecasting.
What you'll do
- Build batch and streaming pipelines (Spark, Kafka, Airflow)
- Model data in the warehouse with dbt; own data quality and SLAs
- Build connectors for enterprise sources (SAP, Oracle, flat-file EDI)
- Partner with ML engineers on feature pipelines
What we're looking for
- 4-8 years in data engineering with strong Python and SQL
- Hands-on Spark, Airflow and a cloud warehouse (Snowflake, BigQuery or Redshift)
- Experience with data quality, lineage and orchestration at scale
- Exposure to supply-chain or ERP data is a plus
Why join
- Work on a product that runs the day-to-day operations of large enterprise supply chains
- Hard, real-world problems: scale, optimisation, messy enterprise data
- Strong engineering culture, ownership from design to production
- Competitive compensation plus ESOPs; health insurance for family