Software Engineer – Data Engineering

Vista Group

Software Engineer responsible for designing and implementing data pipelines and integrations for Vista's AI programs. Working in a hybrid environment with strong focus on software engineering and AI-first practices.

Posted 7/21/2026full-timeAuckland • 🇳🇿 New ZealandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building data ingestion pipelines using Python and TypeScript, while applying AI-first engineering practices and ensuring security and data quality throughout the solution lifecycle. Capable of managing multiple workstreams and delivering production systems in fast-paced environments.

Highest-signal resume keywords

Python ProgrammingTypeScript DevelopmentData Pipeline EngineeringAI Tools UtilizationObservability and Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Ingestion PipelinesAPIsIntegrationsRelational DatabasesData ModellingMetadata ManagementCloud PlatformsAutomated TestingCI/CDInfrastructure Automation

Soft Skills

Clear CommunicationSelf-DirectedJudgment in Security and PrivacyTask ManagementPractical Engineering Approach

Tools & Technologies

AI OrchestrationEvent-Driven SystemsAnalytics PlatformsDistributed ServicesData Quality Controls

Industry Keywords

Data EngineeringDevOps PracticesGovernanceAccess ControlFailure Handling

Tech Stack

Tools & technologies

CloudPythonTypeScript

About the role

Key responsibilities & impact

Design, build, and operate reliable data ingestion pipelines across APIs, events, databases, files, and third-party platforms
Build services, integrations, and reusable tooling using Python, TypeScript, and the patterns established by Vista’s data engineering team
Use AI-first engineering practices to orchestrate the design, development, testing, documentation, and operation of production systems
Create secure and observable interfaces that allow copilots, agents, automation, and decision-support workflows to consume trusted data
Help build unified views of Vista’s customer and business operations
Implement monitoring, logging, alerting, auditability, failure handling, and data quality controls across services and pipelines
Apply strong security, privacy, access control, data ownership, and responsible AI practices throughout the solution lifecycle
Manage multiple workstreams in parallel while remaining self-directed and accountable for delivery
Help improve Vista’s data engineering architecture, development practices, and reusable platform patterns

Requirements

What you’ll need

Strong software engineering fundamentals and experience delivering production systems
Experience with Python, TypeScript, APIs, integrations, data pipelines, or distributed services
Strong experience using AI tools to design, generate, test, review, and operate software
Clear written and verbal communication, with the ability to describe technical problems precisely
Experience with relational databases, data modelling, metadata, and cloud platforms
Understanding of observability, monitoring, automated testing, CI/CD, and DevOps practices
Sound judgment around security, privacy, governance, and access control
Confidence working independently in ambiguous and fast-moving environments
Ability to manage several tasks or workstreams in parallel without significant management overhead
A practical approach to engineering, with a bias toward delivery, reuse, and measurable outcomes
Experience with AI orchestration, agents, event-driven systems, analytics platforms, infrastructure automation, or large-scale data processing would be valuable

Benefits

Comp & perks

Excellent work/life balance including a 4 ½ day working week
Hybrid working (home and office-based split, requiring 1-2 days attendance per week in the Auckland office)
Medical and Life insurance (after qualifying period)
Volunteer day, enhanced paid parental leave and wellness benefits
Strong mentoring & career development focus
Fun team events including the Vista Innovation Cup