Head of Digital Innovation & Cloud Data Engineering

EXYTE SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EXYTE SINGAPORE PTE. LTD. is seeking a Manager Digital Innovation to lead the data engineering, data management, and software development functions that underpin our digital innovation strategy in Singapore.

You will design scalable product delivery and drive robust engineering practices to support our transformation objectives. This role requires 7+ years in engineering or data roles, a proven track record building data teams, and strong Azure expertise.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 7+ years in engineering or data roles with architecture and product development.
• Proven experience building and leading data teams from the ground up.
• Experience in Building & Construction industry is advantageous.

Responsibilities

• Lead and manage team members and partners to support product delivery in innovation.
• Translate stakeholder requirements into actionable digital innovations.
• Design and implement digital innovation programs (AI, BIM, IoT, automation).
• Establish engineering best practices, workflows, and knowledge sharing.
• Collaborate across engineering, IT, operations, and innovation to unlock data value.
• Support Agile delivery and Azure DevOps for lifecycle management.
• Develop scalable, resilient cloud-based data infrastructure using Azure services.

Skills

SQL

Python

PostgreSQL

React.js

Spark

Kafka

Azure

DevOps

API Design

Solution Architecture

Data Leadership

Agile

Education

Bachelor's or Master's degree in CS/DS

Tools

Azure DevOps

Job description

EXYTE SINGAPORE PTE. LTD. is seeking a Manager Digital Innovation to lead the data engineering, data management, and software development functions that underpin our digital innovation strategy in Singapore.

You will design scalable product delivery and drive robust engineering practices to support our transformation objectives. This role requires 7+ years in engineering or data roles, a proven track record building data teams, and strong Azure expertise.