Data & AI Engineer (Database Security
Data & AI Engineer (Database Security)
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 Open to entry-level applicants. 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 Interested applicants, kindly forward a copy of your updated resume in WORD document to
(HIDDEN TEXT)
stating your current and expected remuneration together with notice period required by current employer. EA License No: 12C6254 | EA Personnel Registration No: R1879665
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 Open to entry-level applicants. 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 Interested applicants, kindly forward a copy of your updated resume in WORD document to
(HIDDEN TEXT)
stating your current and expected remuneration together with notice period required by current employer. EA License No: 12C6254 | EA Personnel Registration No: R1879665