Data Engineering & Operations Leader (Platform Governance)

Device Technologies; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Device Technologies in Sydney is seeking a highly technical and hands-on Data Engineering & Operations Manager to lead our data squad and drive end-to-end data initiatives. You will oversee data governance, platform architecture, and BAU operations while growing a high-performing team and ensuring delivery of scalable data solutions across the organisation.

The role demands 10+ years in data/analytics, strong SQL/Python, cloud data platforms, and excellent stakeholder communication to translate

Qualifications

• 10+ years experience in data and analytics roles.
• Proven leadership of technical teams and delivery across priorities.
• Deep expertise in cloud data platforms and tools (Fabric, Power BI, SAP BW).
• Strong SQL and Python capabilities; governance and security knowledge.
• Excellent stakeholder management and communication skills.

Responsibilities

• Lead data management, platform governance, and quality controls.
• Design, deliver, and optimise scalable enterprise data platforms.
• Oversee operations, monitoring, incident management, and documentation.
• Lead and develop a high-performing data engineering and operations team.
• Manage delivery prioritisation, vendor engagement, and reporting to leadership.
• Drive stakeholder engagement and continuous improvement.

Skills

SQL

Python

Leadership

Stakeholder management

Data governance

Cloud data platforms

Data modelling

Agile delivery

Tools

Fabric

Power BI

SAP BW

Git

Deployment pipelines

Job description

Device Technologies in Sydney is seeking a highly technical and hands-on Data Engineering & Operations Manager to lead our data squad and drive end-to-end data initiatives. You will oversee data governance, platform architecture, and BAU operations while growing a high-performing team and ensuring delivery of scalable data solutions across the organisation.

The role demands 10+ years in data/analytics, strong SQL/Python, cloud data platforms, and excellent stakeholder communication to translate