Senior Data & Technology Engineer

About the Role

We are looking for an experienced Senior Data & Technology Engineer to design, build, and maintain modern data, automation, integration, and technology solutions.

This is a hands-on senior engineering role that combines data engineering, Microsoft Fabric, Power Platform, corporate systems integration, and AI-augmented software development. The successful candidate will work with a high degree of autonomy while also providing technical guidance and mentoring to other engineers.

A key part of the role is the ability to use modern AI development tools effectively across the software development lifecycle — from solution design and development through testing, documentation, and ongoing improvement.

Key Responsibilities

Data Engineering & Microsoft Fabric

• Design, build, and maintain reliable and scalable data solutions using Microsoft Fabric.
• Develop and optimise data pipelines, transformations, and ETL processes.
• Apply strong data modelling principles and maintain well-structured, layered data architectures.
• Develop and improve reporting and semantic models.
• Ensure data solutions are accurate, governed, performant, maintainable, and fit for purpose.
• Take ownership of solutions from initial design through implementation and operational support.

Power Platform & Business Automation

• Design and develop business applications and workflow automations using Microsoft Power Apps and Power Automate.
• Work with stakeholders to understand business processes and translate requirements into effective technology solutions.
• Identify opportunities to automate manual and repetitive processes.
• Apply appropriate governance, environment management, solution management, and application lifecycle practices.

Corporate Systems & Integration

• Configure, develop, and integrate corporate SaaS applications.
• Build integrations between business applications using APIs, connectors, and automation platforms.
• Ensure reliable data movement between systems while minimising manual processes.
• Troubleshoot integration and application issues and continuously improve system configuration, documentation, and maintainability.

AI-Augmented Engineering

• Use AI assistants and AI development platforms throughout the software development lifecycle.
• Leverage tools such as Microsoft Copilot, Claude, Claude Code, Replit, or equivalent AI development technologies.
• Use AI to accelerate solution design, development, testing, documentation, and problem-solving.
• Apply sound engineering judgement when reviewing and validating AI-generated code and solutions.
• Establish and promote effective and responsible AI-assisted development practices.
• Help other engineers adopt AI tools and improve their productivity and delivery standards.

Technical Leadership & Engineering Practices

• Champion engineering best practices across development and delivery.
• Promote effective practices around version control, code reviews, testing, documentation, security, maintainability, and quality.
• Contribute to technical standards, reusable components, design patterns, and development practices.
• Make pragmatic technical decisions that balance delivery speed, quality, scalability, and maintainability.
• Provide technical mentoring and guidance to other engineers.
• Review technical work and support the professional development of team members.
• Take ownership of technical initiatives with limited supervision.
• Contribute to solution scoping, estimation, planning, and delivery.

Stakeholder Collaboration

• Work closely with technical and non-technical stakeholders to understand business requirements.
• Translate business needs into practical and sustainable technology solutions.
• Communicate technical concepts clearly to non-technical audiences.
• Maintain clear technical documentation to ensure solutions can be effectively supported and maintained.
• Provide operational support and contribute to continuous improvement initiatives.

Required Skills & Experience

• Demonstrated experience designing and building data engineering and integration solutions.
• Strong hands-on experience with Microsoft Fabric, Microsoft Power Platform, and/or the broader Azure data ecosystem.
• Strong understanding of data engineering fundamentals, including:
  • Data modelling
  • Data pipelines
  • ETL/ELT
  • SQL
  • Semantic models
  • Data governance
• Experience integrating SaaS or enterprise applications using APIs, connectors, and automation.
• Strong proficiency in using AI tools and AI-assisted development workflows.
• Strong understanding of modern software engineering practices.
• Proven ability to work independently and take ownership of technical outcomes.
• Strong analytical and problem-solving capabilities.
• Excellent communication and stakeholder management skills.
• Ability to explain complex technical concepts to both technical and non-technical audiences.

Desirable Skills

• Experience providing technical leadership or mentoring other engineers.
• Experience within the Microsoft 365 ecosystem.
• Experience with modern cloud, data, and application development platforms.
• Programming or scripting experience using technologies such as:
  • Python
  • SQL
  • DAX
  • PowerShell
• Strong experience with API-based integrations.
• Understanding of data governance, security, privacy, and compliance.
• Relevant certifications in Microsoft Fabric, Power BI, Power Platform, or Azure.

Qualifications

A relevant tertiary qualification in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related discipline is preferred.

Equivalent practical experience will also be considered.

What We're Looking For

The ideal candidate is a hands-on senior engineer who can operate across data, automation, integrations, and modern AI-assisted development.

You should be someone who:

• Takes ownership rather than waiting for direction.
• Can move comfortably between technical delivery and stakeholder discussions.
• Has strong engineering fundamentals.
• Is genuinely comfortable using AI as part of their everyday engineering workflow.
• Can identify opportunities to automate and improve existing processes.
• Enjoys mentoring and raising engineering standards across a team.
• Balances speed of delivery with quality, security, and long-term maintainability.