Editorial summary

The company is seeking an AI & Data Engineer (GenAI) responsible for building and maintaining real-time dashboards using Metabase to monitor print orders, production, fulfillment, and shipments. The role involves collaborating with business users to understand reporting needs, ensuring data accuracy, and resolving discrepancies, with a focus on database security. The position offers a salary of 8,000 and requires expertise in dashboard development, data analysis, and database security.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 21817 first appeared in Job-Q.com on 26 Jul 2026]

AI & Data Engineer (GenAI)

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 venus@searchstaffing.com.sg stating your current and expected remuneration together with notice period required by current employer.

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

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