Position Overview

We are seeking an experienced and forward-thinking Database Developer to design and manage robust data systems, integrate AI-powered tools for predictive scheduling and asset monitoring, and streamline data workflows for enhanced project execution. This role is ideal for someone who combines strong SQL/database programming skills with a practical approach to automation and intelligent insights.

Key Responsibilities

Ø  Design, develop, and maintain relational databases to support crane scheduling, rigging assignments, asset lifecycle tracking, and project billing workflows.

Ø  Integrate AI-enhanced analytics to identify usage patterns of cranes and precast equipment, helping improve utilisation rates and preventive maintenance planning.

Ø  Use machine learning models (via Python, Power BI, or embedded platforms) to forecast project delays, equipment downtime, and recommend resource allocation.

Ø  Create and maintain APIs to allow real-time integration with construction project platforms, fleet tracking systems (e.g. GPS/IoT), and on-site mobile data apps.

Ø  Develop automated dashboards and AI-driven reporting tools to provide project managers with alerts, operational KPIs, and compliance metrics.

Ø  Optimise database performance, ensure regular backups, and implement data security protocols in line with industry standards.

Ø  Collaborate with technical and field staff to translate manual workflows into digital, data-driven processes that improve speed and reduce errors.

Ø  Evaluate and deploy practical AI tools (such as Microsoft Azure AI Services or Google AutoML) to reduce repetitive tasks and enhance decision-making.

Sklls and Experience

Ø  Bachelor’s degree or higher in Computer Science, Software Engineering, Data Engineering, or a related field.

Ø  OR Minimum 3 years’ experience in relational database development (SQL Server, PostgreSQL, or MySQL).

Ø  Experience developing backend applications or automated scripts (using Python, .NET, or Node.js).

Ø  Knowledge of AI/ML concepts and tools for predictive modelling, anomaly detection, and data classification (e.g. Scikit-learn, TensorFlow Lite, or Microsoft ML.NET).

Ø  Familiarity with construction-related data, project workflow structures, or asset scheduling systems is an advantage.

Ø  Proficiency in developing dashboards or data visualisations using Power BI, Tableau, or similar tools.

Ø  Strong problem-solving, communication, and documentation skills.

Ø  Experience working in agile or project-based environments, with ability to manage multiple tasks independently.

 

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