Data Platform Engineer

Confidential

Abu Dhabi

On-site

AED 350,000 - 520,000

Full time

14 days+
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Job summary

Confidential in the UAE is seeking a Data Platform Engineer to design and operate the cloud data platform powering its data products and AI initiatives.

You will collaborate with Data Engineering, Architecture, Governance, and AI teams to create scalable, secure cloud foundations and self-service capabilities across Azure and AWS.

Qualifications

  • 6+ years of experience in Data Platform Engineering, DevOps, DataOps, Infrastructure Engineering, or Site Reliability Engineering.
  • Strong experience operating cloud-based data platforms across Azure and/or AWS environments.
  • Hands-on with Terraform, CI/CD pipelines, Infrastructure as Code, and automation frameworks.
  • Experience administering Databricks, Unity Catalog, or similar lakehouse technologies.
  • Knowledge of data governance, lineage, metadata management, streaming technologies, and observability tools.
  • Experience in banking, fintech, or highly regulated environments is advantageous.

Responsibilities

  • Provision and operate cloud data platforms, lakehouse environments, catalog services, and supporting infrastructure.
  • Build and maintain networking, storage, IAM across Azure and AWS environments.
  • Develop Infrastructure as Code, DataOps CI/CD pipelines, and automated deployment processes.
  • Implement governance capabilities including lineage, metadata management, catalogue services, and access controls.
  • Support streaming and batch data platform connectivity, ingestion infrastructure, and data product publishing capabilities.
  • Manage platform observability, disaster recovery, cost optimisation, and operational performance.

Job description

We're excited to be partnering with a leading institution in the UAE that is building a digital-first, AI-enabled financial services organisation from the ground up. This is a unique opportunity to join at an early stage and help shape the technology, data, and AI foundations of a business with significant institutional backing and long-term ambition. If you're passionate about cloud platforms, DataOps, and building scalable data infrastructure, we'd love to hear from you.

As a Data Platform Engineer, you'll play a key role in building and operating the platform that powers the bank's data ecosystem. Working closely with Data Engineering, Architecture, Governance, and AI teams, you'll create the cloud foundations, automation, and self-service capabilities that enable data products and AI solutions to scale securely and efficiently.

Responsibilities
  • Provision and operate cloud-based data platforms, lakehouse environments, catalogue services, and supporting infrastructure.
  • Build and maintain networking, storage, identity, and access management capabilities across Azure and AWS environments.
  • Develop Infrastructure as Code, DataOps CI/CD pipelines, and automated deployment processes.
  • Implement governance capabilities including lineage, metadata management, catalogue services, and access controls.
  • Support streaming and batch data platform connectivity, ingestion infrastructure, and data product publishing capabilities.
  • Manage platform observability, disaster recovery, cost optimisation, and operational performance.
Requirements
  • 6+ years of experience in Data Platform Engineering, DevOps, DataOps, Infrastructure Engineering, or Site Reliability Engineering.
  • Strong experience operating cloud-based data platforms across Azure and/or AWS environments.
  • Hands-on expertise with Terraform, CI/CD pipelines, Infrastructure as Code, and automation frameworks.
  • Experience administering Databricks, Unity Catalog, or similar lakehouse technologies.
  • Knowledge of data governance, lineage, metadata management, streaming technologies, and observability tools.
  • Experience working within banking, fintech, or another highly regulated environment is advantageous.
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