Data & AI Engineer

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.

Interested applicants, kindly forward a copy of your updated resume in WORD document to [email protected] stating your current and expected remuneration together with notice period required by current employer.

EA License No: 12C6254 | EA Personnel Registration No: R1879665