Senior Data & Technology Engineer

Position purpose

The Senior Data & Technology Engineer designs, builds and maintains data and technology solutions across Novigi’s platform, working with autonomy under the guidance of the Data & Technology Solutions. Beyond hands-on delivery, this role champions good engineering practice across the

team and lifts the capability of others – including how the team applies AI to its work.

Key responsibilities and accountabilities:

Data solutions and platform engineering

• Microsoft Fabric – design, build and maintain data solutions in Microsoft Fabric that are reliable, well-modelled and fit for purpose. 
• Develop and optimise data pipelines and transformations, applying sound data modelling and a clear, layered approach to how data is structured. 
• Support and improve reporting and semantic models, ensuring data is accurate, governed and easy to consume. 
• Own the quality, performance and maintainability of the solutions from design through to operational support. 

Automation and the Power Platform 

• Power Platform – design and build automations and applications using Power Automate and Power Apps to streamline manual and repetitive business processes. 
• Partners with the key stakeholders to translate processes need well-designed, supportable solutions. 
• Apply good governance, environment and solution management, and application lifecycle practices to Power Platform solutions. 

Corporate systems and integration 

• Corporate SaaS – configure, develop and integrate Novigi’s key corporate applications, including Zoho, Projectworks, Xero and Employment Hero. 
• Design and build integrations between corporate systems (using APIs, connectors and automation) so that data flows reliably and manual handling is minimised. 
• Troubleshoot and resolve issues across these systems, and improve how they are configured, documented and maintained. 

AI-augmented delivery and enablement 

• AI tooling – work fluently with AI assistants (such as Microsoft Copilot and Claude) to design, build, test and document solutions faster and to a higher standard. 
• Own end to end application development initiatives using AI augmentation platforms (such as Replit, Claude Code etc.) and ensure SDLC best practices are followed. 
• Establish good practice for using AI safely and effectively in engineering work, including prompting, and the review and validation of AI-generated output. 
• Guide and coach others across the team on how to get the most from these tools and help embed AI-augmented ways of working into everyday delivery. 

Engineering practice and technical leadership 

• Champion good practice – promote and uphold good engineering practices such as version control, code review, testing, documentation, security and maintainability, and help raise the standard across the team. 
• Contribute to and maintain technical standards, patterns and reusable components, and make pragmatic design decisions that balance speed and quality. 
• Mentor Data & Technology Engineers, review their work, and support their technical growth. 
• Take technical ownership of solutions and initiatives with limited direction, and help scope, estimate and plan work. 

Collaboration and stakeholder engagement 

• Work closely with stakeholders to understand needs and deliver solutions that add value. 
• Communicate clearly with both technical and non-technical audiences, and document solutions so they can be supported by others. 
• Provide operational support for the platform and systems you help build and contribute to continuous improvement

Skills and experience

• Demonstrated experience designing and building data and integration solutions, ideally in Microsoft Fabric, Power Platform and/or the broader Azure data ecosystem. 
• Strong experience with data engineering fundamentals (data modelling, pipelines and ETL), SQL, and building governed, well-structured datasets and semantic models. 
• Experience configuring, developing or integrating corporate SaaS applications using APIs and connectors. 
• A high degree of AI proficiency. 
• A track record of applying good engineering practices and championing them with others. 
• Strong problem-solving skills, and the ability to work autonomously and take ownership of outcomes. 
• Excellent communication and collaboration skills, and the ability to explain technical concepts to non-technical stakeholders. 

In addition, the following skills are considered desirable: 

• Experience mentoring or providing technical leadership to other engineers. 
• Familiarity with the Microsoft 365 ecosystem and modern cloud and data platform tooling. 
• Experience with scripting and programming (for example Python, SQL, DAX, PowerShell) and API-based integration. 
• Awareness of data governance, security and privacy considerations. 

Relevant certifications (for example Microsoft Fabric, Power BI, Power Platform or Azure).

Qualifications

• A relevant tertiary qualification in computer science, software or data engineering, information systems or a related field, and/or equivalent practical experience.