Senior DataOps Engineer

Discovered MENA • United Arab Emirates
Visa Sponsorship Relocation
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AI Summary

We are looking for a Senior DataOps Engineer to bridge the gap between DevOps and Data Engineering. The role involves building and scaling CI/CD pipelines for complex data workloads and implementing Infrastructure as Code. The ideal candidate will have deep expertise in Databricks, Spark, dbt, and Azure Data Factory.

Key Highlights
Build and scale CI/CD pipelines for complex data workloads
Implement Infrastructure as Code and GitOps for hybrid environments
Enforce data contracts, schema validation, and automated quality testing
Key Responsibilities
Build and scale CI/CD pipelines for complex data workloads
Implement Infrastructure as Code and GitOps for hybrid environments
Enforce data contracts, schema validation, and automated quality testing
Programmatically apply masking, RBAC, and lineage for sensitive datasets
Own observability, cost-monitoring, and incident response for tier-one data domains
Technical Skills Required
Databricks Spark dbt Azure Data Factory GitHub Actions Azure DevOps Terraform Ansible GitOps Linux bash distributed compute
Benefits & Perks
Relocation package provided
Visa sponsorship available
Comprehensive medical insurance

Job Description


Excellent relocation opportunity - Senior DataOps Engineer - Data Systems & Reliability


Location: Dubai/Abu Dhabi, UAE (Hybrid)


The Opportunity

We have partnered with a Multi-billion org that helps millions of people across the globe and we are now undergoing a massive Data transformation. We are looking for a Senior DataOps Engineer to bridge the gap between DevOps and Data Engineering. You will be the architect of our CI/CD frameworks, ensuring our data pipelines are automated, resilient, and production-ready.


The Mission

  • Build and scale CI/CD pipelines for complex data workloads (Spark, Delta Lake, Airflow).
  • Implement Infrastructure as Code (Terraform/Ansible) and GitOps for hybrid environments.
  • Enforce data contracts, schema validation, and automated quality testing.
  • Programmatically apply masking, RBAC, and lineage for sensitive datasets.
  • Own observability, cost-monitoring, and incident response for tier-one data domains.


Your Toolkit

  • 8+ years in engineering, with 2+ years dedicated to DataOps/DevOps.
  • Deep expertise in Databricks, Spark, dbt, and Azure Data Factory.
  • Skilled at GitHub Actions/Azure DevOps and IaC.
  • Strong Linux proficiency (bash, distributed compute) and CDC experience.
  • A good understanding of data governance and metadata management.


Why Join this business?

Join a global organization on a mission to change lives. You will have the opportunity to own the DataOps strategy and the autonomy to build a roadmap from the ground up within a mission-driven culture. The company offers a full relocation package, including visa sponsorship and comprehensive medical insurance for you and your family.


Apply now to make a measurable impact.


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