AI Data Ops Engineer

AI Data Ops Engineer — Abu Dhabi, UAE

We're hiring an AI Data Ops Engineer for a leading Abu Dhabi-based holding group investing heavily in its data and AI capability. You'll engineer the pipelines that feed everyday AI assistants and enterprise AI products— and you'll be the technical authority reviewing and signing off vendor-delivered data architectures before they reach production. Reports to the AI Solutions Manager.

• 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; enforce RBAC and access patterns.
• Automate CI/CD via Azure Dev Ops or Git Hub 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; ensure compliance with client standards for security, performance, and reliability; approve production readiness.
• Collaborate with delivery partner squads on interface specifications, test data, and delivery checkpoints; support SIT/UAT and production cutover.
• Define and enforce Data Contracts and SLAs per priority dataset (schema, refresh frequency, quality thresholds, reconciliation checks, and consumer expectations).
• Own data incident management: classification, RCA, corrective actions, and prevention of recurring nonconformities.
• Formalize the handshake with AI/ML/Dev Ops engineers on feature and embedding pipelines, monitoring hooks, and release gates for data‑dependent AI deployments.

• 6–8 years in data engineering with strong SQL and PySpark and cloud‑native data services.
• Hands‑on experience across the Azure data stack:
  Fabric/Synapse, Data Factory, ADLS Gen2, Delta Lake/Parquet.
• Bachelor's in Computer Science, Engineering, or equivalent.

• Python and PySpark, SQL, Lakehouse patterns, medallion architecture.
• Microsoft Purview: catalog, lineage, classifications; data privacy controls and masking.
• CI/CD with Azure Dev Ops or Git Hub;
  IaC with Bicep or Terraform;
  Docker basics.
• Observability:
  Kusto/KQL, Azure Monitor, Log Analytics; performance tuning and Fin Ops.
• Production incident response and RCA discipline.

• DP-700 (Fabric Data Engineer Associate) OR DP-203 (Azure Data Engineer Associate)

• Any recognized cloud fundamentals credential (AZ‑900, DP‑900, AWS Cloud Practitioner, or equivalent)
• Databricks Certified Data Engineer Associate or Professional

Location: Abu Dhabi, UAE

Employment Type: Permanent, Full‑time

Experience: 6–8 years

Salary Range: 15,000 - 23,000 AED per month

Company Website: