Senior DataOps Engineer (Hybrid Data Platforms)

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  • United Arab Emirates
  • Permanent
  • Full-time
  • 23 days ago
My client is hiring a Senior DataOps Engineer to design, automate, and operate reliable, secure data pipelines across hybrid environments. You’ll apply DevOps principles to data engineering, ensuring high-quality datasets power AI, BI, and operational use cases.🔧 Key Responsibilities:
  • Build & manage CI/CD pipelines for data workloads
  • Implement automated testing, schema validation & data contracts
  • Enforce metadata, lineage & governance policies
  • Monitor pipeline health, performance & cost (dashboards, alerts)
  • Support incident response & SLA management
  • Collaborate with Data, BI & AI teams to deliver production-ready data
⚙️ Tech Stack
Databricks * Spark * Delta Lake * ADF * Airflow * dbt * Kafka * CI/CD (Azure DevOps/GitHub Actions) * Terraform/Ansible🔐 Governance & Ops:
  • Apply RBAC, masking, tokenisation for sensitive data (PII/PHI)
  • Maintain lineage, cataloging & quality KPIs
  • Optimize performance (partitioning, caching, cost efficiency)
✅ Requirements:
  • 8+ years in engineering, 2+ years in DataOps/DevOps
  • Strong experience with data platforms (Databricks, Spark, ADF, dbt)
  • Hands-on CI/CD, IaC & observability
  • Solid Linux & distributed systems knowledge
  • Experience with CDC (SQL Server/Oracle, Debezium/GoldenGate)
  • Understanding of data governance & privacy frameworks
🎓 Education
Bachelor’s in Computer Science, Engineering, or related fieldSalt is acting as an Employment Agency in relation to this vacancy.

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