Engineer batch and stream pipelines using Fabric Data Pipelines, Azure Data Factory, Synapse or Databricks.
Implement data quality rules, schema validation, de-duplication (SCD) and reconciliation checks.
Operationalize lineage, cataloging and classifications with Microsoft Purview and enforce RBAC and access patterns.
Automate CI/CD via Azure DevOps or GitHub with environment promotion, infrastructure‑as‑code (Bicep/Terraform) and secrets management via Key Vault.
Build feature stores and model‑serving data contracts in partnership with MLOps and AI engineering teams.
Own reliability alerts, runbooks, on‑call rotation and cost and performance optimization.
Review and finalize vendor‑delivered data pipelines and data architecture for AI projects, ensuring compliance with client standards for security, performance and reliability, and approve production readiness.
Collaborate with delivery part...
★ Ready to Start Your European Career?
Take the next step and apply for this exciting opportunity