Hybrid Data Engineering Lead – AI, Analytics, Platform

at Fetch! Pet Care

• Job title: Data Engineering Lead – AI, Analytics, Platform
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Sydney, Australia

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