Role Overview Initial 6-month contract. Strong likelihood of extension based on project requirements Candidates serving up to 1 month notice period can be considered Reporting into the Data & AI Division Working on core platform engineering initiatives supporting enterprise-scale data and AI capabilities We are seeking a Senior Data Platform Engineer with deep expertise in building and managing modern data platform infrastructure. This role is highly platform-focused and requires strong experience with Kubernetes-based environments, Git Ops deployment methodologies, and AI/data platform architecture. The ideal candidate will have hands-on experience designing scalable platforms that enable data and AI workloads, alongside exposure to emerging AI ecosystem technologies and integrations.
Qualifications Core Platform Engineering Kubernetes (expert level) Argo CD (strong production experience) Platform Engineering and Infrastructure Automation Cloud-native architecture and operations Data & AI Platform Experience Must demonstrate experience in most or all of the following:RAG (Retrieval-Augmented Generation) architecture and implementations Memory frameworks/components within AI applications Evaluation frameworks for AI/LLM performance and quality assessment Ontology design, knowledge representation, or semantic data modelling Connectors / MCP (Model Context Protocol) integrations and ecosystem experience Seniority: Senior Engineer level only Proven track record designing and delivering enterprise platforms Comfortable engaging with architects, technical leads, and stakeholder Candidates coming from:Data Platform Engineering AI Platform Engineering ML Platform Engineering Cloud Platform Engineering Data Infrastructure Engineering Relevant experience in:Large-scale enterprise environments Data and AI platform teams Modern cloud-native technology stacks Location / Talent Strategy Data Platform Engineer in Abu Dhabi, United Arab Emirates