Senior Technology Engineer - Data Platform (Banking Client)

GSSTech Group; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading technology firm in Dubai seeks a Senior Technology Engineer to build and maintain a scalable Data Science Platform. The role involves collaborating in an Agile + DevOps environment, optimizing Spark jobs, and implementing CI/CD pipelines. Candidates should have over 8 years of relevant experience and strong expertise in Cloudera and automation tools. This position offers the chance to be part of a digital transformation for a top-tier bank.

Benefits

Opportunity to work with the latest tech stack

Fast-paced Agile + DevOps environment

Contribute to large-scale data initiatives

Qualifications

• Minimum 8+ years of relevant experience in technology engineering roles.
• Minimum 4 years of hands-on Hadoop production experience.
• Strong expertise in platform observability and monitoring practices.

Responsibilities

• Build and maintain a robust, scalable, and secure Data Science Platform.
• Implement CI/CD pipelines for data and analytics projects.
• Drive platform enhancements from design to delivery.

Skills

Cloudera

CI/CD tools

Scripting (Python, Shell, Groovy)

Linux OS

Docker

Kubernetes

Ansible

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology or related field

Tools

GitHub Actions

Jenkins

ArgoCD

OpenShift

Podman

Job description

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