Platform Engineer II

Platform Engineer II

The Data Platform team builds and maintains the organization's enterprise knowledge catalog, knowledge graph, and unified data pipelines. We provide reusable data pipeline tooling for the enterprise and manage the entire BigQuery and analytics ecosystem. We focus on data accessibility, semantic connectivity, and automation to improve how data is discovered, processed, and utilized across the company.
The Role
You will build AI data agents that interact with our enterprise knowledge catalog, knowledge graph, and extensive analytics infrastructure. This role is responsible for automating complex data workflows, contributing to intelligent data pipeline tooling, and building scalable integrations that bridge our AI capabilities with our core data platforms.
Principal Accountabilities

• Agent Development: Design, build, and deploy AI data agents to query and navigate the enterprise knowledge graph, data catalogs, and analytics systems.
  
• Skill Creation: Develop modular Agent Skills to execute data retrieval, transformation, and analytical tasks.
  
• Agent Evaluation: Design and implement Agent Evals to test the reliability, accuracy, and factual consistency of agent outputs.
  
• Data Pipeline & Analytics Integration: Build intelligent integrations and reusable tooling that interface with our unified data pipelines and BigQuery ecosystems.
  
• Knowledge Integration: Collaborate with data engineers to ingest, curate, and expand the enterprise knowledge catalog and knowledge graph.
  
• Tool Utilization: Leverage Coding Agent tools (Claude, Anti Gravity, and GitHub Copilot) to accelerate technical delivery and code generation.
  

Required Skills & Qualifications

• Academic Foundation: Bachelor’s Degree (preferably in Computer Science, Information Systems, or a related discipline) accompanied by 1+ years of relevant hands-on engineering experience.

• Programming Languages: Proficiency in Python and Java.
  
• Agent Tooling: Experience developing Agent Skills and building Agent Evals.
  
• AI Assistants: Experience utilizing Coding Agent tools (Claude, Anti Gravity, GitHub Copilot) in the software development lifecycle.
  
• Execution: Ability to work proactively in a team environment and meet delivery timelines.
  

Preferred Qualifications (A Plus)

• Data Systems: Experience working with knowledge graphs, enterprise data catalogs, semantic data models, and data pipelines.

• AI Frameworks: Hands-on experience building AI agents using Google ADK and LangChain.
  
• Primary Cloud & Analytics: Hands-on experience with Google Cloud Platform (GCP) and deep knowledge of BigQuery.
  
• GitOps & Orchestration: Experience with GitOps practices and deploying applications to Kubernetes.
  
• Foundational Models: Experience working with Gemini models, Anthropic models, or GPT models.
  
• Multi-Cloud: Experience with other major cloud providers (AWS or Azure).

Company Benefits:

• Bonus Programme
• Equity Programme
• Employee Stock Purchase Plan (ESPP)
• Private Medical and Dental coverage
• Mental Health Benefit Programme
• Group Pension Plan
• Income Protection
• Life Assurance
• Cycle To Work
• EV Car Benefit Scheme
• Gym Membership
• Family Leave
• Education Assistance – MBA/Advanced Degree/Bachelor Degree
• Ongoing Employee Development Training/Certification
• Hybrid Working

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CME Group: Where Futures are Made

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