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Senior Developer
- Location to be confirmed
- New Zealand
- Permanent
- $100,000–$150,000 per annum
- Date posted: 6 Nov 2026
Role Summary
IDEAL CANDIDATE Background 5 years' experience in software and/or data development. Strong software engineering background before specialising in data. Experience building applications, APIs, services or enterprise…
IDEAL CANDIDATE
Background
- 5 years' experience in software and/or data development.
- Strong software engineering background before specialising in data.
- Experience building applications, APIs, services or enterprise software solutions.
- Consulting, vendor or client-facing experience preferred.
- Comfortable leading requirements gathering, workshops and solution design discussions.
Core Skillsets
- Microsoft Azure Data Platform
- Azure Data Factory
- Azure Synapse Analytics
- Microsoft Fabric
- SQL
- Power BI
- Python, C# or JavaScript
- ETL / ELT Development
- Data Modelling
- Data Engineering
- CI/CD
- Git
- Infrastructure as Code
- Test Driven Development (TDD)
- AI-Assisted Development
KEY CHARACTERISTICS
- Strong communicator with excellent stakeholder management skills.
- Able to lead client engagements from discovery through to delivery.
- Consultative mindset with strong commercial awareness.
- Technically deep whilst remaining business-focused.
- Comfortable presenting solutions and managing difficult conversations.
- Mentorship and team leadership capability.
- Critical thinker when applying AI tools and technologies.
- Experience balancing technical excellence with pragmatic business outcomes.
WHAT THEY ARE LOOKING FOR
Candidates who can:
- Lead client workshops and discovery sessions.
- Design scalable Microsoft data platforms and architectures.
- Build robust ETL/ELT pipelines and data models.
- Write production-quality code in Python, C# or JavaScript.
- Develop SQL-based solutions across modern Azure data environments.
- Design decision-focused Power BI reporting and visualisations.
- Contribute to solution architecture, estimation and presales activities.
- Mentor junior and intermediate developers.
- Drive AI-enabled development practices and adoption.
- Manage delivery risk, scope and client expectations.
- Bridge the gap between technical teams and business stakeholders.
Ref: 000657
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