Systems & Data Engineer
Tasks
- Build prompt engineering workflows for AI output accuracy
- Collaborate with stakeholders to scope integration requirements
- Conduct peer code reviews and follow coding standards
- Debug integration pipeline failures and data inconsistencies
- Design and build MCP connectors for AI agents
- Design build maintain system integrations
- Document integration patterns field mappings and data flows
- Implement resilience testing and version control for services
- Maintain and extend micro services and connectors
- Monitor integration pipelines for reliability and performance
- Perform bug fixing performance tuning and technical debt reduction
Perks/Benefits
- Buying and selling holiday
- Enhanced maternity pay
- Flexible hours
- Free breakfast
- Free fruit and drinks
- Good work-life balance
- Holiday allowance
- Regular socials
- Training and support
Skills/Tech-stack
Claude | Cursor | Docker | Enterprise Service | Enterprise Service Bus | Error Handling | Event Driven | Event-driven architecture | Git | LLM | Logging | Message queuing | Microservices | Model Context Protocol | Polling | Prompt engineering | Python | REST API | Relational databases | SQL | Salesforce | Service Bus | Version control | Webhooks
Education
N/A
Roles
Data Engineer | Engineer | Software Engineer | Systems Engineer
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