Senior Software Engineer – Team Lead, Data Engineering

Vista Group

Senior Software Engineer - Team Lead delivering AI solutions for cinema software company. Leading data engineering team, translating complex operational problems into practical AI-enabled solutions.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering fundamentals with experience in delivering production systems, utilizing AI tools for software design and operation, and leading teams in a collaborative environment. Capable of translating business needs into technical solutions while ensuring data quality, security, and responsible AI practices.

Highest-signal resume keywords

Python ProgrammingTypeScript DevelopmentAI Tools UtilizationData Pipeline DesignTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsAPIsIntegrationsDistributed SystemsData ModellingData Quality PrinciplesAI OrchestrationEvent-Driven SystemsAnalytics PlatformsAutomated Workflows

Soft Skills

Analytical SkillsProblem FramingCommunication SkillsTrust BuildingCoaching

Tools & Technologies

Cloud PlatformsData Engineering ToolsData Ingestion PipelinesDecision-Support WorkflowsAutomation Tools

Industry Keywords

Data QualitySecurityPrivacyGovernanceAccess Control

Tech Stack

Tools & technologies

CloudDistributed SystemsPythonTypeScript

About the role

Key responsibilities & impact

**What you’ll do**
- Work with stakeholders to understand business outcomes, operational pain points, workflows, and decisions that could be improved through better access to data and AI
- Translate business needs into clear requirements, data points, metrics, source systems, and prioritised engineering work
- Design and deliver data ingestion pipelines, services, integrations, and tooling using 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
- Build practical AI-enabled solutions, including copilots, agents, automation, and decision-support workflows.
- Break ambiguous problems into clear, achievable increments that deliver measurable value
- Run multiple streams of work in parallel while remaining self-directed and accountable for outcomes
- Ensure data quality, security, access, auditability, observability, and responsible AI practices are built into each solution
- Work closely with data engineering, product, support, security, and business teams to ensure solutions are useful, reusable, and scalable
- Provide day-to-day people leadership for the Data Engineering team, including regular one-to-ones, coaching, feedback, career development, wellbeing support, and performance management
- Build a healthy, inclusive, and accountable team environment that supports high autonomy and effective collaboration
- Provide leadership visibility into team health, capacity, capability, and emerging people risks

Requirements

What you’ll need

**What you’ll bring with you**
- Strong software engineering fundamentals and experience delivering production systems
- Experience with Python, TypeScript, APIs, integrations, data pipelines, or distributed systems
- Strong experience using AI tools to design, generate, test, review, and operate software
- Experience leading, mentoring, or coaching software engineers
- Ability to build trust, provide clear feedback, and support meaningful career-development conversations
- Ability to set clear expectations while enabling engineers to work with a high degree of autonomy
- Excellent written and verbal communication, with the ability to articulate problems clearly and precisely
- Strong analytical and problem-framing skills
- Experience translating business needs into technical solutions and prioritised engineering work
- Confidence working independently in ambiguous and fast-moving environments
- Ability to manage several workstreams in parallel without requiring significant management overhead
- Familiarity with relational databases, data modelling, cloud platforms, and data quality principles
- Sound judgment around security, privacy, governance, and access control
- A practical, outcome-focused approach to AI and emerging technologies
- Experience with AI orchestration, agents, event-driven systems, analytics platforms, data engineering, or automated workflows would be valuable
***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.***

Benefits

Comp & perks

You will be supported to continually learn and improve your tech skills, share knowledge and ideas in the team, and be part of a dynamic and open culture.
We have a range of benefits that include:
- Excellent work/life balance including a 4 ½ day working week
- Hybrid working (home and office-based split)
- 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
If you enjoy a challenge and working in a dynamic and collaborative team, you’ll love working at Vista.
*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.*