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 developm…
Skills: Python, PySpark, SQL, Azure Data Services, Databricks
Senior Business Analyst / Forward Deployed Engineer (FDE)
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Senior
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High impact leadership role to help set direction and shape the unit Permanent | Wellington based | 4.8 weeks annual leave Midpoint of $224,867 dependent on your professional skills and experience Ko tōu ake mahi - What …
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Full-time
Posted 9h ago
~40 hrs/week
Responsibilities
Design and build data pipelines and AI solutions using Azure, Fabric, and Databricks. Collaborate directly with clients to translate business problems into technical implementations and provide consulting support.
Requirements
Requires proficiency in Python, SQL, and Spark, along with experience in containerization and Azure data patterns. Candidates should have a background in ML/AI techniques and strong communication skills for client-facing engagements.
Full job description
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.
Provoke is an end-to-end technology services company that has been innovating and delivering strategic solutions for over 20 years. Our team of digital experts, designers, architects, and engineers is dedicated to transforming the way businesses operate. We specialize in leveraging AI to create smarter, faster solutions, ensuring that innovation is practical and impactful.
From integrating UX into software development to driving digital transformation with AI, we help our clients navigate and excel in the ever-evolving tech landscape. Provoke builds practical solutions that matter to teams, customers, and the future.
Our philosophy is clear: Innovation Shouldn’t Be This Hard. Take This Long. Cost This Much.
Offices: 5752 Grandscape Blvd, Suite 225, The Colony, Texas 75056, US · Level 5 15-17 Murphy Street, Wellington Thorndon, Wellington 6011, NZ · 2 Commerce Street, Level 12, Auckland, AUK 1010, NZ · 2010 156th Ave NE, Suite 301, Bellevue, Washington 98007, US · Level 17, Dimension Data House, 157 Lambton Quay, Wellington, Wellington 6011, NZ
How many Data & Analytics jobs are open in Wellington, New Zealand right now?
There are currently 59 open data & analytics positions in Wellington, New Zealand listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Wellington, New Zealand?
Companies currently hiring include Deloitte, ACC New Zealand, Datacom, Contact Energy Ltd, DXC Technology, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Wellington, New Zealand?
Yes — 41 of the 59 open data & analytics positions offer remote or hybrid work (5 remote, 36 hybrid).
How do I apply for Data & Analytics jobs in Wellington, New Zealand?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.