We are looking for a seasoned Data Engineer to own the Client’s batch data pipelines and dbt models — the critical infrastructure that delivers daily demand forecasts to customers and provides data scientists with the stable, well-defined data they need to continuously improve AI models.

Project – an end-to-end, real-world demand-forecasting platform where engineers can directly improve how deep-learning predictions are produced and served daily using messy multi-source retail data at a meaningful scale. 

This is a batch-focused, hands-on engineering role within a small, highly autonomous remote team. There is no legacy bureaucracy — fresh ideas on data warehouse architecture are actively welcomed. 

Experience / Skills required: 

Must have: