Senior Data Consultant

About Novigi:

Novigi is the data and technology partner to the Financial Services Industry with offices in Sydney, Melbourne, Wollongong, Brisbane, Auckland and Colombo, Sri Lanka. At our core, we are data-driven transformation and business optimisation experts. We partner with our clients to transform their business functions through the clever use of data and interoperability. We do this by offering a range of services and solutions.

About the role:

As a Senior Data Consultant (Level 3), you will lead the data stream on complex projects for clients in Superannuation, Wealth, Pensions, KiwiSaver and wider financial services. You will turn client requirements into trusted, practical outcomes, guide and develop the data delivery team and work directly with senior client stakeholders. You will bring data engineering expertise, deep financial services domain knowledge and consulting capability to every engagement.

Responsibilities:

• Own the end-to-end technical delivery of complex data solutions, from requirements clarification through data engineering and QA to handover.
• Design, build, test and maintain data pipelines, data models and data migrations using Microsoft Fabric and SQL Server / SSIS, and review the work of others in the data stream.
• Resolve routine delivery issues independently and identify and act on mitigations for complex or high-risk issues.
• Lead the data stream on Novigi projects. Contributing to planning, estimating and allocating data work and tracking progress against project milestones.
• Be accountable for the quality of the data stream’s outputs, including design reviews, code and peer reviews, and quality checks before release.
• Act as the primary data contact for the Project Manager and client, reporting status, risks, issues and dependencies.
• Act as a trusted data advisor, clarifying client needs, explaining outputs and delivering practical solutions that support client outcomes, not only task completion.
• Communicate progress, risks and findings clearly to both technical and non-technical stakeholders.
• Lead client workshops and data requirements sessions, manage expectations and scope for the data stream, and handle difficult conversations with confidence.
• Build and maintain relationships with senior client stakeholders, identifying opportunities to add further value.
• Define, maintain and champion the team’s data standards, patterns and engineering best practice, and influence data solution architecture and ways of working across projects.
• Lead knowledge sharing and continuous improvement initiatives, including documentation, reusable assets and lessons learned.
• Provide people leadership for assigned data consultants, including goal setting, regular one-on-ones, ongoing feedback and input to performance and development reviews.
• Coach and mentor less experienced team members in technical and consulting skills, and support the onboarding of new team members.

Skills and experience:

• Bachelor’s degree in Data Science, Computer Science or a related field, or equivalent practical experience.
• 5+ years’ hands-on experience in data analysis, data engineering, data migrations, data modelling, data integration and data warehousing.
• 5+ years’ experience delivering data solutions in the Australian and/or New Zealand financial services industry (Superannuation, Wealth, KiwiSaver, etc.).
• Proven track record of capturing data requirements and translating them into well-designed solutions.
• Demonstrated experience defining, embedding and assuring data standards and data engineering best practice across a team.
• Experience leading delivery in Agile or hybrid environments, with a working knowledge of the software development lifecycle (SDLC).
• Experience mentoring, coaching or leading data professionals.
• Hands-on experience with Microsoft Fabric, SQL Server and SSIS.
• Advanced SQL and data modelling skills, with experience in solution design, performance tuning and CI/CD practices for data solutions.
• Working knowledge of analytical programming languages (e.g. Python, R).
• Hands-on experience with Azure Data Factory, SSRS
• Relevant Microsoft Fabric or Azure data certifications.
• Exposure to data governance and cataloguing tools (e.g. Microsoft Purview).
• Experience with other cloud data platforms (e.g. Snowflake).
• Strong technical and consulting judgement, with the ability to make and clearly explain recommendations to clients.
• Client-ready written and verbal communication, including with senior and non-technical stakeholders.
• A collaborative, proactive approach to problem-solving, solution design and continuous learning.

Why our clients love Novigi:

Novigi moves quickly, thinks sharply, and delivers what’s been agreed. Clients tell us we’re easy to work with because we stay focused on outcomes, cut through complexity, and keep communication open and honest. Behind that simplicity sits a huge depth of industry expertise and serious technical capability, built from years of working across superannuation, data, integration, and complex platforms. Our culture of innovation, collaboration and banter shows up in how we work day to day: teams that slot in seamlessly, challenge constructively, adapt as needs shift, and stay committed to getting the right things done well.

Only those candidates chosen to proceed will be contacted.