AI Data Ops Engineer

AI Data Ops Engineer — Abu Dhabi, UAEWe'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. What you'll own: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 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; 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/DevOps engineers on feature and embedding pipelines, monitoring hooks, and release gates for data-dependent AI deployments. What you bring: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. Core skills and tools required:Python and PySpark, SQL, Lakehouse patterns, medallion architecture.Microsoft Purview: catalog, lineage, classifications; data privacy controls and masking.CI/CD with Azure DevOps or GitHub; IaC with Bicep or Terraform; Docker basics.Observability: Kusto/KQL, Azure Monitor, Log Analytics; performance tuning and FinOps.Production incident response and RCA discipline.Required certifications:DP-700 (Fabric Data Engineer Associate) OR DP-203 (Azure Data Engineer Associate) Desired certifications:Any recognized cloud fundamentals credential (AZ-900, DP-900, AWS Cloud Practitioner, or equivalent)Databricks Certified Data Engineer Associate or Professional  Location: Abu Dhabi, UAEEmployment Type: Permanent, Full-timeExperience: 6-8 yearsSalary Range: 15,000 - 23,000 (AED per month)