Data & Ai Engineer

We are looking for a Data & 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, that's absolutely fine.

We value consulting maturity just as much as technical depth.

Responsibilities

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)

Technical Experience - 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

Technical Experience - ML / AI / NLP / LLM

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

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

Desired Traits

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 we'll take it from there.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

IT Services and IT Consulting

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