Flooid

Engineering Manager

• Line-manage, coach, and develop Engineering Leads across multiple teams
• Own performance management, career development, succession planning, and performance improvement plans
• Own delivery confidence across teams, including cross-team planning, dependencies, risk, forecasting, and escalation reduction
• Partner with Product, Architecture, and Professional Services on scope, sequencing, and trade-offs
• Work with the VP and stakeholders on the agentic delivery lifecycle from specification through implementation, review, testing, and release
• Decide where AI agents lead, where humans lead, and where human sign-off is required
• Work hands-on in Cursor and Flow Next alongside individual contributors and Engineering Leads
• Create versioned, reusable prompts, skills, and context as engineering artefacts
• Build evaluation into the quality system and collaborate with Platform Engineering, Architecture, Cloud, and Security on model access, observability, audit trails, and cost
• Deliver and use metrics and KPIs covering quality, flow, predictability, team health, and AI effectiveness
• Establish standards for engineering process, Agile practices, technical quality, and AI-assisted career paths
• Report to the VP of Engineering
• Improve delivery quality, speed, predictability, and committed-date performance across teams

Data Engineer

• Translate business and solution requirements into practical data designs, database changes and implementation approaches for Flooid’s retail technology platform
• Collaborate with project managers, solution specialists, engineers, testers and other stakeholders to clarify requirements and shape solutions
• Deliver data-related work across discovery, estimation, solution design, implementation, testing, deployment and early-life support
• Produce solution documentation supporting build, testing, deployment and ongoing support
• Deliver assigned data and database work packages to agreed scope, quality and timelines
• Provide technical input during discovery, planning, estimation and design reviews
• Support configuration, development, testing, deployment and handover activities
• Investigate and resolve project issues, communicate progress and escalate risks or blockers
• Identify design dependencies, constraints and delivery risks
• Support database changes to improve performance or reliability and investigate database performance issues
• Suggest improvements to data-processing efficiency
• Update database schemas, data definitions and documentation
• Follow agreed data standards and design guidance
• Support minor improvements to database tooling, automation, data-related processes and tools
• Review specific technologies when requested
• Apply and share knowledge of SQL, XML/XSD, relational databases and data modeling

Engineering Manager

Data Architect