Data Engineer

My client is looking for a Data Engineer to design and build scalable data pipelines that deliver trusted, analytics-ready datasets for BI, AI, and operational use cases across a hybrid environment.*** Must have healthcare/healthtech experience ***Build pipelines across bronze, silver & gold layers (Databricks, Spark, dbt)Implement data quality checks, contracts & schema validationApply governance (catalog, lineage, RBAC, metadata)Deliver curated datasets, features & embeddings for AI/BIMonitor pipeline health, performance & cost to meet SLAsApply masking, tokenisation & access controls (PII/PHI)Build observable pipelines with alerts, dashboards & runbooksOptimize performance (partitioning, caching, cost efficiency)5+ years in Data EngineeringProficiency in PythonHands-on with Databricks, Spark, Delta Lake & dbtExperience with Azure data services (ADF, ADLS, Key Vault)Familiarity with CI/CD & container basics (Docker/Kubernetes)S3-compatible storage (MinIO, VAST)Exposure to BI tools (Power BI) & healthcare standards (FHIR/MDR)Bachelor’s in Computer Science, Engineering, or related field*** Only successful candidates will be contacted ***#J-18808-Ljbffr