Software Engineer - Data Engineering

As a junior to intermediate level Software Engineer in the Data Engineering team, you’ll help build the technical foundations for the next phase of Vista’s AI programme.

Working as part of the data engineering team, you’ll design and implement the pipelines, services, integrations, and platform capabilities needed to connect data across Vista’s systems and support practical AI-enabled workflows.

You’ll use AI-first engineering practices to build secure, scalable, and reusable production systems, with a strong focus on clear problem definition, effective AI orchestration, and reliable delivery.

This role is expected to be approximately 20% analysis and design, and 80% implementation.

Help us build the secure and scalable data platform that will support Vista’s AI capabilities, improve operational decision-making, and create better outcomes for our customers and teams.

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• Design, build, and operate reliable data ingestion pipelines across APIs, events, databases, files, and third-party platforms
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• Build services, integrations, and reusable tooling using Python, TypeScript, and the patterns established by Vista’s data engineering team
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• Use AI-first engineering practices to orchestrate the design, development, testing, documentation, and operation of production systems
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• Create secure and observable interfaces that allow copilots, agents, automation, and decision‑support workflows to consume trusted data
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• Help build unified views of Vista’s customer and business operations
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• Implement monitoring, logging, alerting, auditability, failure handling, and data quality controls across services and pipelines
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• Apply strong security, privacy, access control, data ownership, and responsible AI practices throughout the solution lifecycle
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• Manage multiple workstreams in parallel while remaining self‑directed and accountable for delivery
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• Help improve Vista’s data engineering architecture, development practices, and reusable platform patterns
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• Strong software engineering fundamentals and experience delivering production systems
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• Experience with Python, TypeScript, APIs, integrations, data pipelines, or distributed services
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• Strong experience using AI tools to design, generate, test, review, and operate software
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• Clear written and verbal communication, with the ability to describe technical problems precisely
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• Experience with relational databases, data modelling, metadata, and cloud platforms
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• Understanding of observability, monitoring, automated testing, CI/CD, and DevOps practices
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• Sound judgment around security, privacy, governance, and access control
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• Confidence working independently in ambiguous and fast‑moving environments
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• Ability to manage several tasks or workstreams in parallel without significant management overhead
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• A practical approach to engineering, with a bias toward delivery, reuse, and measurable outcomes
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• Experience with AI orchestration, agents, event‑driven systems, analytics platforms, infrastructure automation, or large‑scale data processing would be valuable
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For this particular role, we are currently only considering applicants with the right to live and work in New Zealand without the need for employer sponsorship.

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• Excellent work/life balance including a 4.5 day working week
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• Hybrid working (home and office‑based split, requiring 1-2 days attendance per week in the Auckland office)
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• Medical and Life insurance (after qualifying period)
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• Volunteer day, enhanced paid parental leave and wellness benefits
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• Strong mentoring & career development focus
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• Fun team events including the Vista Innovation Cup
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We value inclusivity celebrate diversity and are committed to offering equal opportunity to our staff and candidates — regardless of gender, age, race, ethnicity, marital status, disability, sex, sexual orientation, religious, ethical beliefs or political opinion. This commitment is reflected in all our employment policies and procedures.