Data Platform Engineer

🏢 Confidential
📍 Abu Dhabi, United Arab EmiratesFull-timeOn-site
📅 Posted: Today🔄 Updated: Today
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✨ AI Summary
This role involves building and operating a data platform for a digital-first, AI-enabled financial services organization in the UAE. The Data Platform Engineer will be responsible for creating cloud foundations, automation, and self-service capabilities to enable scalable data products and AI solutions. Key responsibilities include provisioning and operating cloud-based data platforms, building networking and access management capabilities, developing Infrastructure as Code and DataOps CI/CD pipelines, implementing governance, supporting data ingestion, and managing platform observability and cost optimization. The ideal candidate will have 6+ years of experience in Data Platform Engineering, DevOps, DataOps, Infrastructure Engineering, or Site Reliability Engineering. Proficiency in operating cloud platforms like Azure and AWS, along with expertise in tools such as Terraform, CI/CD pipelines, and Infrastructure as Code, is essential. Experience with Databricks, Unity Catalog, data governance, lineage, metadata management, streaming technologies, and observability tools is also required. Prior experience in banking or regulated environments is a plus.
Required Skills
Information Technology
Infrastructure as CodeData PlatformsCI/CDObservability
Other
Streaming technologiesUnity CatalogDataOps
Requirements
Requires 6+ years of experience in Data Platform Engineering, DevOps, DataOps, Infrastructure Engineering, or Site Reliability Engineering. Must have strong experience operating cloud-based data platforms across Azure and/or AWS environments, with hands-on expertise in Terraform, CI/CD pipelines, Infrastructure as Code, and automation frameworks. Experience administering Databricks, Unity Catalog, or similar lakehouse technologies is required, along with knowledge of data governance, lineage, metadata management, streaming technologies, and observability tools. Experience in banking, fintech, or a highly regulated environment is advantageous.
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.Ready to join us Apply today and take the next step in your career.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00