Data Consultant

• Own end‑to‑end data migrations with real client impact.
• High‑growth, AI‑driven SaaS company modernising a legacy industry.
• Strong benefits package, modern tools, and a premium working environment.

About the Company
This high‑growth SaaS company is transforming a traditionally legacy‑driven industry with modern, AI‑native technology and integrated services. Having scaled rapidly over a short period, they are now supporting hundreds of clients globally and continuing to invest in people, tooling, and innovation. The culture is ambitious, collaborative, and delivery‑focused, offering the opportunity to make a meaningful impact in a business that is scaling fast.

About the Role
As a Data Consultant, you’ll sit at the centre of how clients move from legacy systems onto a modern platform. You’ll lead complex data migrations end‑to‑end, working closely with clients and internal delivery teams to clean, transform, validate, and migrate data accurately. You’ll also collaborate on tooling and AI‑driven workflows to continuously improve migration speed, quality, and scalability.

Day to Day Responsibilities

• Lead end‑to‑end client data migrations, ensuring accuracy and completeness.
• Clean, transform, and validate complex legacy datasets.
• Partner with implementation and customer teams to resolve data challenges.
• Build and improve internal tooling to automate and streamline migrations.
• Investigate data quality issues and feed learnings back into processes.

Benefits

• Comprehensive health insurance and generous parental leave.
• Premium office environment with modern equipment and tools.
• Strong workstation package including laptop and accessories.
• Increased annual leave entitlement with tenure.
• Supportive, high‑growth environment with strong career progression.

Skills & Experience Required
We’re looking for a practical, detail‑driven data professional with:

• 2+ years’ experience in data engineering, migrations, or similar roles.
• Strong Python and SQL skills with hands‑on ETL experience.
• Proven ability to work through complex data quality issues.
• Experience working directly with clients or non‑technical stakeholders.
• Focus on automation and interest in using AI‑assisted tooling.
• Some exposure to financial services or regulated environments is advantageous.

How to Apply
To apply, please submit your CV and a brief cover letter outlining your suitability for the role. Ref: 144882

Please note: Only applicants legally entitled to work in New Zealand will be considered.

Apply now