Engineering Jobs in Wellington, New Zealand (Now Hiring) — 48 open

About the role

We are looking for a Data and AI Engineer who loves solving real problems, working directly with customers, and building things that actually get used. This role blends data engineering, AI and ML development, modern cloud architecture, and good old-fashioned consulting. You will be part of a team that values clarity, curiosity, collaboration, and kindness as much as raw technical skill.

If you are stronger on consulting, communication, and relationship building than the full technical stack, thats absolutely fine. We value consulting maturity just as much as technical depth.

What you'll be doing

You'll work across a range of interesting data and AI projects, including:

• Designing and building data pipelines, dataflows, and event driven ingestion patterns
• Working with Fabric, Databricks, Delta/OneLake, and wider Azure data services
• Pairing with clients to understand problems, shape approaches, and turn ideas into working solutions
• Applying ML and AI techniques to forecasting, clustering, anomaly detection, and document understanding
• Bringing a consulting mindset to every engagement so customers feel supported and confident
• Collaborating with a wider team across the world (NZ / AUS / USA & Europe)

No two projects will look the same, so you'll get variety, learning, and plenty of ownership.

Technical experience wed love you to have

You don't need to tick every box. If you're close and excited, we want to hear from you.

Core

• Python (OOP and notebooks), PySpark, SQL or SparkSQL
• Data extraction or automation experience using tools like Playwright, Selenium, BeautifulSoup, Firecrawl, Zyte
• Containerisation and dev automation using Docker, Docker Compose, CI/CD (GitHub Actions or Azure DevOps)
• Working understanding of AKS and how to deploy or operate workloads
• Hands on with Fabric or Databricks, Delta/OneLake, Functions, Queues, and modern Azure data patterns
• Building Fabric Data Pipelines, Dataflows Gen2, or Databricks notebooks
• A mindset focused on data quality, lineage, and observability

ML/AI/NLP/LLM experience & skills

• Experience with feature engineering, data analysis, or model building
• Forecasting (classical and deep), clustering, anomaly detection, or risk scoring
• Experience with Transformers for NER, classification, or summarisation
• OCR, document parsing, crawling pipelines, or handling unstructured text

MLOps familiarity

• Training and retraining pipelines in Fabric, Databricks, or Azure ML
• MLflow or similar for tracking
• Awareness of model drift and model decay
• Packaging inference services in Docker with reproducible builds

What would make you a great fit

• You communicate clearly and confidently with both technical and non-technical people
• You enjoy understanding the customer and shaping the right solution
• You are proactive, thoughtful, and calm under pressure
• You care about building things properly, not just quickly
• You like being part of a team that supports each other and wins together

If this sounds like you, even if you don't hit every skill, we'd love to hear from you. Hit apply and well take it from there.