Senior Data & Technology Engineer

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

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.

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.