Data & AI Engineer
Provoke SolutionsAbout 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, that's absolutely fine. We value consulting maturity just as much as technical depth.
What you'll be doing
- 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 we'd 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 we'll take it from there.
About Provoke Solutions
Provoke Solutions (Provoke) is a digital consulting firm of designers, architects, and engineers that builds software and digital products, with a focus on applying AI to client solutions. Its work spans AI-accelerated software development, AI agent ("agentic") transformation, AI readiness and data engineering, and AI-driven user experiences, and the company describes a patent-pending generative AI technology it calls KNOVVA. Client engineering work includes building data pipelines and applying machine learning and AI on Microsoft Azure, Microsoft Fabric, and Databricks.
Interested in this role?
Apply now to join Provoke Solutions.