Senior Systems & Data Engineer

The Senior Systems Engineer is a lead technical contributor responsible for the development, scaling, and architectural integrity of the Group s commercial systems and data infrastructure. Working in lockstep with the Technical Lead and our Salesforce Specialists, you will own the technical execution of our Salesforce CPQ roadmap and the evolution of our proprietary Enterprise Service Bus (ESB). This is a "builder-heavy" role. You will bridge the gap between complex commercial logic in Salesforce and our in-house micro-services and databases, ensuring that data flows reliably, securely, and instantaneously across a rapidly scaling global business.

Role Responsibilities

Integration Architecture & ESB Evolution

• Drive the ESB Roadmap: Lead the technical direction of our home-built Enterprise Service Bus, ensuring it remains resilient, scalable, and capable of handling high-concurrency event-driven workloads.
• Advanced Integration Patterns: Design and implement sophisticated integration patterns (webhooks, pub/sub, async messaging) between Salesforce, ERPs, and internal DBs.
• Operational Excellence: Own the monitoring and reliability of our integration pipelines, implementing senior-level logging, alerting, and "self-healing" error handling to prevent data drift.

Salesforce & CPQ Development

• Lead CPQ Execution: Technical ownership of the Salesforce CPQ build translating commercial requirements into robust Apex, LWC, and configuration.
• Collaborative Build: Work daily with Salesforce Specialists to ensure all developments align with platform health, naming conventions, and the wider CRM roadmap.
• Performance Engineering: Optimize Salesforce-to-ESB data flows to ensure that complex quoting and pricing data move without latency or governor-limit issues.

Micro-Services & In-House Databases

• System Design: Architect and build the micro-services (Python/Node) that power our proprietary business logic, reporting into the Technical Lead for architectural sign-off.
• Database Engineering: Lead the design and maintenance of in-house relational databases, ensuring clean schema design, data integrity, and performance tuning for the Data team.
• CI/CD Ownership: Manage the deployment lifecycle of these services, ensuring robust testing and version control are standard practice.

AI Tooling & MCP Development

• System Exposure: Design and govern custom Model Context Protocol (MCP) servers that provide AI agents with secure, structured access to internal systems.
• Agentic Workflows: Build the "connective tissue" that allows AI to perform autonomous actions (like data validation or quote drafting) across our stack.

Essential

• Senior Engineering Background: 5+ years experience in systems engineering or backend development.
• Integration Expert: Deep experience with ESB patterns, message queuing (RabbitMQ/Kafka), and building/consuming complex REST APIs.
• Salesforce CPQ Mastery: Technical proficiency in Salesforce (Apex/LWC) with specific, hands-on experience in CPQ logic.
• Python/SQL Expert: Mastery of Python for micro-services and advanced SQL for database design and optimization.
• Collaborative Pedigree: Experience working in a structured team reporting to a Technical Lead and partnering with platform specialists.

Desirable

• AI Frameworks: Experience with MCP or building custom wrappers for LLMs (Claude/GPT).
• Infrastructure: Familiarity with Docker, Kubernetes, and CI/CD automation.

Behaviours

• Systems Thinker: You don't just fix a bug; you figure out why the architecture allowed it to happen and you fix the root cause.
• High Agency: You take ownership of the "Quote-to-Cash" pipeline and don't wait for a nudge to improve it.
• Collaborative Leader: You enjoy the "team sport" of engineering sharing knowledge with juniors and syncing with specialists to ensure the whole ecosystem stays healthy.
• Mentor Mentality: You enjoy elevating the junior members of the team through code reviews and architectural coaching.