Staff Implementations Data Engineer (NV1, contract)
Summary
Staff-level data engineer joining a small Australian team inside a US tech company whose AI platform maps global supply chains. You build and customise client data pipelines hands-on with Python, SQL, Databricks, AWS and some Azure, while acting as the technical lead in client meetings; an active NV1 clearance is mandatory.
Help build the data pipelines behind a platform that helps organisations manage supply chain risk, improve efficiency and uphold their values.
- Contract or permanent role based in Canberra, Sydney or Melbourne
- Must hold a current NV1 clearance
- Set technical direction while staying hands-on
- US based tech company building their own AI platform
The role
You'll be part of a small Australian team within a US based tech company that uses AI to map global supply chains. You'll build and customise data pipelines for Australian clients, bring their data into the platform, and keep those pipelines reliable, secure and cost effective. The best part about this role is the mix: you're the technical expert in client meetings, and you're still hands-on, working mainly with Python, SQL, Databricks and AWS, with some Azure.
About you
- 8+ years in data engineering, with end-to-end ownership of large-scale pipelines, from design through to running them in production
- A current NV1 clearance
- Experience as the lead technical voice with clients, ideally government, translating their requirements into architecture
- Hands-on cloud engineering in AWS and/or Azure, building solutions, not just administering them
- Security minded, with experience in data governance and supporting security reviews or accreditation (IRAP or Essential Eight a plus)
- You set technical direction, mentor others, and can clearly explain your own impact versus the team's
- Familiarity with graph databases, entity resolution, or trade and supply chain data a plus
The offer
- Contract or permanent role based in Canberra, Sydney or Melbourne
- Join a high performing team working on a platform with global impact
- Flexible hours built around client needs, not a rigid 9 to 5
- Modern stack and tooling: Python, SQL, Databricks, OpenSearch, Postgres, Docker, Kubernetes, Terraform, Datadog, AWS and Azure