GSSTech Group
Senior Technology Engineer - Data Platform (Banking Client)

Dubai - United Arab Emirates
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
Negotiable Salary