Data & AI Engineer
Summary
Build and secure databases, create Metabase dashboards for logistics ops, and support an AI-powered scheduling engine using SQL, BI tools, and ML concepts.
Data & AI Engineer (GenAI )
About the Role
We're looking for a Data & AI Engineer to join our Technology team. In this role, you'll help safeguard our databases, build the dashboards our operations team relies on daily, and support the ongoing development of our AI-powered scheduling system. You'll work closely with your reporting manager and cross-functional users to turn data into decisions.
Responsibilities
Dashboards & Reporting
Build, refine, and maintain Metabase dashboards that give real-time visibility into print orders, production status, fulfilment, shipments, and operational exceptions
Partner with business users to understand their reporting needs, define the right metrics, and validate that data sources are accurate
Investigate and resolve discrepancies in reports, ensuring dashboards stay timely, trustworthy, and genuinely useful for day-to-day decisions
Database Security
Conduct reviews across our databases to spot potential vulnerabilities or risks
Document your findings clearly and put forward recommended security measures for management sign-off
Keep an eye on user access levels, permissions, and general data integrity practices
AI Scheduling Platform
Support the training, testing, and refinement of our AI scheduling engine using historical data, live data feeds, business rules, and feedback from users
Help roll out scheduling recommendations and, where authorised, autonomous scheduling actions — always working within limits and escalation paths set by management
Contribute to improving the platform's recommendation accuracy over time
Documentation & Escalation
Maintain clear records of database reviews, dashboard logic, AI model updates, test outcomes, and requirement changes to support internal audits and ISO compliance
Flag security concerns, data quality issues, access anomalies, or operational red flags to your manager without delay
Requirements
Degree or Diploma in Computer Science, IT, Data Science, AI, Software Engineering, Cybersecurity, or a related field
Solid grounding in relational databases: SQL, schema design, access control, data integrity, and backup fundamentals
Familiarity with BI/dashboarding tools such as Metabase, Power BI, Tableau, or similar
Understanding of core machine learning concepts — model training, optimisation, data pipelines, and using historical/real-time data to drive predictions
Comfortable working with AI-assisted development tools and modern AI-driven coding workflows
Experience in Claude Coding.
EA License No: 12C6254 | EA Personnel Registration No: R1879665