Platform Engineer II
Cmegroup Open · verified Oct 24, 2026 At a glance
Mid-level Platform & Infrastructure role at Cmegroup. Belfast - Millennium House · full-time · no salary stated · we estimate £51,994–£67,500 across the United Kingdom.
Cmegroup has not published a salary for this role. The figure below is our estimate, not theirs.
devopsroles summary, based on the employer's posting.
What you'll do
- Build AI agents that search the knowledge graph, data catalog and analytics systems for information
- Create reusable agent skills for retrieving, transforming and analyzing data
- Test agent responses for reliability, accuracy and factual consistency
- Connect agent capabilities to BigQuery and shared data pipelines with reusable tools
- Work with data engineers to add and organize information in the catalog and knowledge graph
What you bring
- A bachelor’s degree, preferably in computing or a related field, plus at least one year of hands-on engineering work
- Strong Python and Java skills
- Experience creating agent skills and evaluation tests
- Experience using Claude, Anti Gravity or GitHub Copilot during software development
Who this fits
This mid-level engineering role suits someone who can deliver in a team and build AI agents and data integrations. Hybrid working is offered.
From the employer
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
CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.
At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.
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