Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
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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Not specified
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Tech skills
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