
Data Engineering Lead
Ray White Loan Market2 months ago
Sydney, Australia +2 moreStaff+
Responsibilities
- Design and build ingestion, orchestration, integration, and deployment platforms for the data engineering team.
- Build and run the platform supporting corporate machine learning and generative AI, including deployment and serving, model registry, retrieval and vector infrastructure, monitoring, retraining, and guardrails.
- Set technical direction, define quality standards, and make explicit technical and delivery trade-offs.
- Establish standards, runbooks, playbooks, governance, consent, retention, and audit practices with Technology.
- Translate ambiguous business direction into sequenced delivery plans and communicate changes and costs.
- Manage direct reports through one-to-ones, growth plans, feedback, and performance reviews.
- Own service levels, incident response, operating costs, technical debt, safe system failure, and sustainable operational load.
- Own technical hiring and the first ninety days for new team members.
Requirements
- Deep hands-on experience building and running cloud data platforms across ingestion, orchestration, transformation, and deployment.
- Experience putting machine learning or generative AI into production, or sufficient platform depth and appetite to own it.
- Experience growing engineers, including handling difficult conversations.
- A track record of delivering through other people as well as through personal engineering work.
- Technical depth equivalent to being the strongest engineer in the room when needed.
- Judgment about which problems to handle personally and which to delegate.
Categories
Data Engineering
About Ray White Loan Market
Ray White is a privately held, fourth‑generation real estate group headquartered in Sydney and founded in 1902, operating across Australia, New Zealand, Indonesia, and Hong Kong. It franchises residential, commercial, and rural property sales, management, and auctions, and partners with Loan Market Group to deliver mortgages, asset finance, and insurance across Australia and New Zealand. Engineering roles support cloud-based CRM platforms and CI/CD that underpin its broker and agency networks.