Flinks

Data Engineer

• Own and evolve the data platform - the BigQuery warehouse, dbt transformation layers, Airflow / Cloud Composer orchestration and Pub/Sub ingestion that feed every model and metric.
• Build and operate the ML platform - training pipelines (Kubeflow on Vertex AI), model serving (FastAPI behind Vertex endpoints), CI/CD, containerization and typed contracts.
• Take operational ownership of model-serving infrastructure so reliability isn't carried by the data scientists alone.
• Harden and standardize the data models the business depends on - improving schemas, fixing data-quality issues and establishing trustworthy source-of-truth feeds.
• Establish data governance and observability - bring data that lives outside the warehouse under proper governance and build operational metrics for products that don't yet have them.
• Standardize how data engineering is done across product lines - patterns, tooling and pipelines other teams can adopt.
• Partner across data science, backend and product on the producer to consumer contract (models produced by data science, consumed/aggregated downstream, surfaced to clients).

Senior Data Engineer