Data Engineer responsible for building and maintaining data solutions using Microsoft Fabric. Working within a consultancy environment to meet client expectations across various sectors.
About the role
- Data Engineering Lead at Fetch owning end-to-end data platform for AI, pricing, and operations. Collaborate with teams to enable real-time data-driven decisions and trustworthiness.
Responsibilities
- Own Fetch’s data platform end-to-end – from ingestion and modelling to observability, experimentation, and AI evaluation
- Design the data foundations that make AI safe, measurable, and reliable: datasets, evals, feedback loops, and monitoring that keep our agents honest
- Build and own Fetch’s entire data stack – ingestion, pipelines, warehouse, observability
- Partner with AI engineers to productionise agents and models with clear metrics, feedback loops, and evaluation frameworks
- Make data flow in real-time across pricing, product, claims, ops, and AI
- Automate everything – alerts, tests, and fail-safes so nothing breaks silently
- Enable smarter pricing, sharper decisions, and clearer insight across the business
- Partner with engineering and AI teams to productionise data-driven features
Requirements
- 5+ years building and maintaining data platforms or analytics engineering stacks at scale
- Strong with Python and SQL, and comfortable with dbt, modern warehouses, and event-driven data
- Experience designing reliable batch and/or streaming pipelines with strong observability and testing
- Pragmatic builder – you know when to ship a simple solution and when to invest in scalable architecture
- You care about product: you like to understand the business problem, challenge requirements, and push for outcomes over output
- Obsessed with data quality, trustworthiness, and clear definitions (metrics, contracts, schemas)
- Clear communicator, effective collaborator across engineering, product, ops, and leadership
- Bonus – experience designing evaluation frameworks for AI/LLM systems (offline evals, golden sets, regression tests, monitoring)
- Bonus – experience supporting AI agents or ML products (feature engineering, feedback loops, human-in-the-loop systems)
- Bonus – experience in insurance, healthcare/veterinary, fintech, or other regulated environments
Benefits
- Competitive Series A salary + meaningful equity
- Hybrid working (3 days Sydney office, flexible WFH)
- Latest MacBook Pro and a top setup
- Two team retreats each year (Blue Mountains, SXSW, Singapore)
- Office dogs for cuddles and interruptions
- Bean to cup coffee machine, unlimited fruit and snacks. Toblerone on-tap
Job title
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