Trafigura Group
Python Engineer, Beacon - Gas, Power & Renewables TechnologyApplylocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R-018441 Main purpose We are looking for a Senior Python Engineer to join our Gas, Power & Renewables (GPR) Technology team. You will be a core member of a small, high-impact engineering group embedded within a broader team of quants, analysts, traders, and deal desk professionals.Your primary focus will be building risk solutions for the Power and Gas trading desk on top of Beacon Platform . This is a 100% hands-on development role - you will own the full development lifecycle, from gathering requirements directly with traders and stakeholders through to delivering production-quality solutions.This role will work directly with the trading desk. Candidates who have previously worked in a trading floor environment will be familiar with the pace and communication style,and will have a natural advantage.You will be joining a well-resourced, commercially active team at the centre of one of the most dynamic areas of the energy markets. The role offers direct exposure to complex trading activity, close collaboration with quants and traders, and the opportunity to build solutions that have immediate, measurable impact on the business. Key responsibilities Design, build, and maintain risk and analytics solutions for the Power and Gas desk using Python on top of Beacon Platform Integrate quantitative models developed by the quant team into Beacon and connect them to relevant market data sources Work in a fast-paced trading environment where decisions are made quickly and feedback is direct Engage directly with traders, quants, analysts, and the deals desk to gather requirements, understand business needs, and present technical solutions Collaborate with other Beacon engineers within the team to ensure consistency, code quality, and shared best practices Contribute to the ongoing evolution of the GPR technology stack Required qualifications Strong Python development skills 2+ years of hands-on development experience on Beacon Platform , Quarts, or Athena; candidates with SecDB development experience will also be considered Solid understanding of quantitative modelling concepts - you will not be building models yourself, but you will be integrating them and need to understand what they do Preferred qualifications Additional experience with Apache Kafka is a plus. Attributes for success Confident and resilient under pressure - comfortable receiving direct, candid feedback and using it constructively Comfortable engaging with non-technical stakeholders - traders, analysts, and deal desk - to translate business requirements into technical solutions Able to present and explain technical approaches clearly to a mixed audience Self-sufficient and delivery-focused; this is not a role with heavy management oversight Equal opportunity employer We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.
Python Engineer, Beacon - Gas, Power & Renewables TechnologyApplylocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R-018441 Main purpose We are looking for a Senior Python Engineer to join our Gas, Power & Renewables (GPR) Technology team. You will be a core member of a small, high-impact engineering group embedded within a broader team of quants, analysts, traders, and deal desk professionals.Your primary focus will be building risk solutions for the Power and Gas trading desk on top of Beacon Platform . This is a 100% hands-on development role - you will own the full development lifecycle, from gathering requirements directly with traders and stakeholders through to delivering production-quality solutions.This role will work directly with the trading desk. Candidates who have previously worked in a trading floor environment will be familiar with the pace and communication style,and will have a natural advantage.You will be joining a well-resourced, commercially active team at the centre of one of the most dynamic areas of the energy markets. The role offers direct exposure to complex trading activity, close collaboration with quants and traders, and the opportunity to build solutions that have immediate, measurable impact on the business. Key responsibilities Design, build, and maintain risk and analytics solutions for the Power and Gas desk using Python on top of Beacon Platform Integrate quantitative models developed by the quant team into Beacon and connect them to relevant market data sources Work in a fast-paced trading environment where decisions are made quickly and feedback is direct Engage directly with traders, quants, analysts, and the deals desk to gather requirements, understand business needs, and present technical solutions Collaborate with other Beacon engineers within the team to ensure consistency, code quality, and shared best practices Contribute to the ongoing evolution of the GPR technology stack Required qualifications Strong Python development skills 2+ years of hands-on development experience on Beacon Platform , Quarts, or Athena; candidates with SecDB development experience will also be considered Solid understanding of quantitative modelling concepts - you will not be building models yourself, but you will be integrating them and need to understand what they do Preferred qualifications Additional experience with Apache Kafka is a plus. Attributes for success Confident and resilient under pressure - comfortable receiving direct, candid feedback and using it constructively Comfortable engaging with non-technical stakeholders - traders, analysts, and deal desk - to translate business requirements into technical solutions Able to present and explain technical approaches clearly to a mixed audience Self-sufficient and delivery-focused; this is not a role with heavy management oversight Equal opportunity employer We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.
Trafigura Group
Forward Deployment EngineerApplylocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R-018193 Main purpose Trafigura is recruiting a hands-on Forward Deployment Engineer (FDE) to sit at the intersection of product engineering and business outcomes within an assigned business domain. The FDE embeds directly with business stakeholders, leads technical deployments end-to-end, builds bespoke integrations and ensures the engagement layer drives measurable business value. This is not a support role: the FDE owns the full technical lifecycle, from discovery through to production, for domain-specific tools, dashboards, AI-assisted workflows and lightweight apps sitting on top of core enterprise systems.The role is IT-owned but embedded with the business, working alongside key users and domain leads to take working prototypes through to production: integrating them with the Enterprise Data Platform and core Trafigura systems; deploying agentic AI workflows; and taking radical ownership of live production. The focus is practical delivery in the field. Key responsibilities Customer Immersion & Solution Delivery Embed directly with assigned business teams on-site to understand their workflows, constraints and business objectives and translate prototypes into production-grade applications on the agreed enterprise stack (React, Python or Node.js, PostgreSQL, AWS). Own the full technical lifecycle of the "last mile" - from discovery and architecture proposals through hardening, test coverage, performance, UX consistency and readiness for enterprise rollout. Conduct deep-dive technical discovery sessions with stakeholders from technical ICs to executives; produce scoping documents, architecture decision records and reusable design-system patterns across engagement-layer applications. Translate technical concepts into clear business value; release frequently against a continuous backlog of business requests using ticket- and feedback-driven workflows. Solution Design & Implementation Architect and build production-grade custom integrations, APIs, data pipelines and workflow automations between engagement-layer applications and core Trafigura systems. Transform proof-of-concept prototypes into secure, scalable and compliant production systems - building event streams and batch interfaces that move data into governed enterprise flows, starting with read-only pulls and progressing to bidirectional integration. AI & Agentic Workflows Design, deploy and orchestrate agentic AI workflows using frameworks such as LangGraph; implement RAG pipelines, fine-tuned models and vector database integrations within the assigned business domain. Operate the end-to-end delivery toolchain (AWS, GitLab, Docker, CI/CD, infrastructure-as-code) and AI-assisted development environments (Claude Code and shared skills such as Shipper) so that builders and engineers can ship safely and quickly. Use AI tooling to automate diagnostics, pre-analyse domain data, and reduce manual engineering lift across development, test and production environments. Governance, Security and Controls Integrate engagement-layer applications with Azure Entra ID for single sign-on (OIDC / SAML) and SCIM provisioning; implement industry-standard user, group, role and permission models. Enforce segregation of duties, access reviews, audit logging and change-management discipline appropriate for applications handling sensitive business data. Partner with IT Security, Risk and Compliance to ensure applications meet Trafigura's security and data-handling standards before production rollout. Production Ownership & Troubleshooting Own deployments end-to-end across engagement-layer applications: triage outages, perform root-cause analysis, apply patches and monitor the live stack. Debug real-world edge cases in live environments and resolve performance or schema conflicts under operational pressure; own runbooks, ADRs and operational handover from build to run. Take radical ownership of production issues regardless of time or complexity, coordinating with core support teams on cross-system incidents. Cross-Functional Collaboration Act as the day-to-day technical partner for the assigned business domain - visible, responsive and embedded; build trust across technical and non-technical stakeholders. Partner with peer IT functions, Enterprise Architecture and Platform Engineering to align on standards and roadmap; feed reusable patterns and field insights back to the core platform team. Decompose ambiguous, open-ended business problems into actionable deliverables; push back constructively when proposed approaches will not scale or will not meet control requirements. Required qualifications Education & Experience Bachelor's degree in Computer Science, Engineering or a related field. 6+ years of hands-on software engineering experience, with at least 2 years embedded with users delivering production applications in financial services, commodities or comparable enterprise environments. Demonstrated experience taking proof-of-concept prototypes through the full technical lifecycle to secure, production-grade systems; comfort owning the technical work end-to-end. Technical Knowledge Strong proficiency in Python and full-stack engineering: React (or equivalent modern front-end framework) and Node.js back-end, PostgreSQL; additional languages (Go, Java) a plus. Hands-on experience with cloud platforms (AWS), Docker and Kubernetes; CI/CD in GitLab (or equivalent); infrastructure-as-code (e.g. Terraform); observability and monitoring stacks. Solid understanding of database systems, SQL, data modelling, ETL pipelines, REST/gRPC APIs and microservices architecture; identity and access management with OIDC / SAML and Azure Entra ID. Experience with LLMs, RAG systems, prompt engineering and AI evaluation frameworks; familiarity with MLOps, model deployment and AI observability/guardrails; working use of AI-assisted development tools (e.g. Claude Code). Familiarity with one or more of: trading, ERP or treasury platforms; workflow or document platforms; or enterprise domain data models relevant to the assigned business area. Leadership & Skills Exceptional communication - able to lead a customer meeting with confidence and clarity; ships frequently, measures adoption and iterates on user feedback. Strong problem decomposition and customer empathy; comfortable operating at the business / IT boundary with domain users as well as enterprise IT peers. Radical ownership - you don't file a ticket at 2 AM, you fix the problem; pragmatic judgement about what belongs on the engagement layer versus what must be solved in core enterprise systems. Clear written and verbal communication; self-directed; able to prioritise independently across multiple stakeholders. Department overview The Digital Transformation Team is a joint venture between Trading Technology and the Data Science and Engineering Team. Reporting Structure Reports to the Team Lead, Engagement Layer Delivery within the relevant technology function, part of Business Technology Services (BTS) / IT. Skip-line reporting to the Head of the relevant technology function. Embedded with the assigned business domain. The role has regular working relationships with domain leadership and users; and with peer IT functions including Enterprise Architecture and Platform Engineering. Equal opportunity employer We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.
Forward Deployment EngineerApplylocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R-018193 Main purpose Trafigura is recruiting a hands-on Forward Deployment Engineer (FDE) to sit at the intersection of product engineering and business outcomes within an assigned business domain. The FDE embeds directly with business stakeholders, leads technical deployments end-to-end, builds bespoke integrations and ensures the engagement layer drives measurable business value. This is not a support role: the FDE owns the full technical lifecycle, from discovery through to production, for domain-specific tools, dashboards, AI-assisted workflows and lightweight apps sitting on top of core enterprise systems.The role is IT-owned but embedded with the business, working alongside key users and domain leads to take working prototypes through to production: integrating them with the Enterprise Data Platform and core Trafigura systems; deploying agentic AI workflows; and taking radical ownership of live production. The focus is practical delivery in the field. Key responsibilities Customer Immersion & Solution Delivery Embed directly with assigned business teams on-site to understand their workflows, constraints and business objectives and translate prototypes into production-grade applications on the agreed enterprise stack (React, Python or Node.js, PostgreSQL, AWS). Own the full technical lifecycle of the "last mile" - from discovery and architecture proposals through hardening, test coverage, performance, UX consistency and readiness for enterprise rollout. Conduct deep-dive technical discovery sessions with stakeholders from technical ICs to executives; produce scoping documents, architecture decision records and reusable design-system patterns across engagement-layer applications. Translate technical concepts into clear business value; release frequently against a continuous backlog of business requests using ticket- and feedback-driven workflows. Solution Design & Implementation Architect and build production-grade custom integrations, APIs, data pipelines and workflow automations between engagement-layer applications and core Trafigura systems. Transform proof-of-concept prototypes into secure, scalable and compliant production systems - building event streams and batch interfaces that move data into governed enterprise flows, starting with read-only pulls and progressing to bidirectional integration. AI & Agentic Workflows Design, deploy and orchestrate agentic AI workflows using frameworks such as LangGraph; implement RAG pipelines, fine-tuned models and vector database integrations within the assigned business domain. Operate the end-to-end delivery toolchain (AWS, GitLab, Docker, CI/CD, infrastructure-as-code) and AI-assisted development environments (Claude Code and shared skills such as Shipper) so that builders and engineers can ship safely and quickly. Use AI tooling to automate diagnostics, pre-analyse domain data, and reduce manual engineering lift across development, test and production environments. Governance, Security and Controls Integrate engagement-layer applications with Azure Entra ID for single sign-on (OIDC / SAML) and SCIM provisioning; implement industry-standard user, group, role and permission models. Enforce segregation of duties, access reviews, audit logging and change-management discipline appropriate for applications handling sensitive business data. Partner with IT Security, Risk and Compliance to ensure applications meet Trafigura's security and data-handling standards before production rollout. Production Ownership & Troubleshooting Own deployments end-to-end across engagement-layer applications: triage outages, perform root-cause analysis, apply patches and monitor the live stack. Debug real-world edge cases in live environments and resolve performance or schema conflicts under operational pressure; own runbooks, ADRs and operational handover from build to run. Take radical ownership of production issues regardless of time or complexity, coordinating with core support teams on cross-system incidents. Cross-Functional Collaboration Act as the day-to-day technical partner for the assigned business domain - visible, responsive and embedded; build trust across technical and non-technical stakeholders. Partner with peer IT functions, Enterprise Architecture and Platform Engineering to align on standards and roadmap; feed reusable patterns and field insights back to the core platform team. Decompose ambiguous, open-ended business problems into actionable deliverables; push back constructively when proposed approaches will not scale or will not meet control requirements. Required qualifications Education & Experience Bachelor's degree in Computer Science, Engineering or a related field. 6+ years of hands-on software engineering experience, with at least 2 years embedded with users delivering production applications in financial services, commodities or comparable enterprise environments. Demonstrated experience taking proof-of-concept prototypes through the full technical lifecycle to secure, production-grade systems; comfort owning the technical work end-to-end. Technical Knowledge Strong proficiency in Python and full-stack engineering: React (or equivalent modern front-end framework) and Node.js back-end, PostgreSQL; additional languages (Go, Java) a plus. Hands-on experience with cloud platforms (AWS), Docker and Kubernetes; CI/CD in GitLab (or equivalent); infrastructure-as-code (e.g. Terraform); observability and monitoring stacks. Solid understanding of database systems, SQL, data modelling, ETL pipelines, REST/gRPC APIs and microservices architecture; identity and access management with OIDC / SAML and Azure Entra ID. Experience with LLMs, RAG systems, prompt engineering and AI evaluation frameworks; familiarity with MLOps, model deployment and AI observability/guardrails; working use of AI-assisted development tools (e.g. Claude Code). Familiarity with one or more of: trading, ERP or treasury platforms; workflow or document platforms; or enterprise domain data models relevant to the assigned business area. Leadership & Skills Exceptional communication - able to lead a customer meeting with confidence and clarity; ships frequently, measures adoption and iterates on user feedback. Strong problem decomposition and customer empathy; comfortable operating at the business / IT boundary with domain users as well as enterprise IT peers. Radical ownership - you don't file a ticket at 2 AM, you fix the problem; pragmatic judgement about what belongs on the engagement layer versus what must be solved in core enterprise systems. Clear written and verbal communication; self-directed; able to prioritise independently across multiple stakeholders. Department overview The Digital Transformation Team is a joint venture between Trading Technology and the Data Science and Engineering Team. Reporting Structure Reports to the Team Lead, Engagement Layer Delivery within the relevant technology function, part of Business Technology Services (BTS) / IT. Skip-line reporting to the Head of the relevant technology function. Embedded with the assigned business domain. The role has regular working relationships with domain leadership and users; and with peer IT functions including Enterprise Architecture and Platform Engineering. Equal opportunity employer We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.