Lead Data Engineer, ML-Ready Pipelines
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
By continuing, you agree to our Terms & Privacy Policy.
WD is building the data infrastructure for AI-driven applications in Singapore. The role focuses on developing ML-ready scientific data pipelines, with emphasis on feature engineering, data quality, lineage, and governance for scalable AI workflows.
Ideal candidates have 0–1 year in data engineering, strong Python/SQL skills, and familiarity with orchestration tools like Airflow or Prefect. You will work on real-time streaming, synthetic data, and ML data lifecycle integration.