Senior Technology Engineer - Data Platform (Banking Client)

We are looking for a Senior Technology Engineer to join the our client which is a leading UAE bank.

The selected candidate will be responsible for building and maintaining a robust, scalable, and secure Data Science Platform, enabling high-performance data workloads and supporting enterprise-grade analytics and AI use cases.

You will work in an Agile + DevOps environment, collaborating with cross-functional squads to implement automation-first, cloud-native, and containerized infrastructure solutions.

Key Responsibilities:

Platform Engineering & Automation

• Hands-on Tier-2 production experience with Cloudera platform including installation, upgrade, and maintenance
• Optimize performance of Spark jobs in collaboration with Data Engineering teams
• Design and implement CI/CD pipelines for data and analytics projects using tools such as GitHub Actions, Jenkins, or ArgoCD
• Develop automated workflows using scripting languages (Python, Shell, Groovy)
• Automate security and compliance checks as per regulatory standards
• Implement observability tools and performance monitoring practices

Infrastructure & Containerization

• Build and manage containerized environments using Docker or Podman
• Deploy and manage Kubernetes/OpenShift-based solutions
• Perform automated patching and lifecycle management of platform components
• Ensure high availability, scalability, and fault tolerance of the infrastructure

DevOps & Agile Delivery

• Work closely with product squads and stakeholders to translate requirements into deliverable engineering solutions
• Contribute to backlog grooming, sprint planning, and DevOps cycles
• Drive platform enhancements from design to delivery in alignment with architectural and security standards
• Deliver robust, production-ready solutions that minimize operational overhead

Collaboration & Stakeholder Engagement:

• Act as a technology evangelist and collaborate with teams from Security, Architecture, Agile, and Data Chapters
• Facilitate platform adoption and onboarding of new use cases and data teams
• Promote reusability, standardization, and simplification across the platform
• Represent the platform in relevant forums and design reviews

Required Skills & Experience:

Technical Expertise:

• Minimum 8+ years of relevant experience in technology engineering roles
• Minimum 4 years of hands-on Hadoop production experience (preferably with Cloudera)
• Strong expertise in:
• Cloudera (installation, maintenance, tuning)
• CI/CD tools: GitHub Actions, Jenkins, ArgoCD
• Scripting: Python, Shell, Groovy
• Linux OS, basic networking, Git
• Ansible or similar automation frameworks
• Docker, Podman, Kubernetes, OpenShift
• Platform observability and monitoring practices

Nice to Have:

• Experience with Data Science platforms/products
• Public cloud experience (AWS, Azure, or GCP)
• Experience in the banking or financial services domain

Behavioral Competencies:

• Self-starter with high initiative and ownership
• Collaborative and able to build trust-based relationships
• Calm and solution-oriented under pressure
• Analytical thinker with strong problem-solving skills
• Passionate about technology, innovation, and continuous improvement

Educational Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
• Equivalent work experience will also be considered

Why Join?

• Be part of a digital transformation journey for a top-tier bank
• Work in a fast-paced Agile + DevOps environment
• Contribute to large-scale data and AI-driven initiatives
• Opportunity to work with the latest tech stack in Data Engineering & Analytics