Round Zero

FinOps Data Engineer

Department
Engineering

The FinOps Data Engineer role focuses on managing and optimizing cloud costs across AWS and GCP environments. Day-to-day tasks include analyzing billing and usage data to identify cost-saving opportunities, developing and maintaining data pipelines and models that ensure accurate financial metrics, and applying data science techniques like forecasting and anomaly detection to support cost efficiency. This hands-on position involves collaboration with engineering teams, finance, and product stakeholders to implement solutions that improve cloud financial governance and maximize the value of cloud spending.

Apply ↗

More at Sydney Quantum Computing (SQC)

Related roles

Supabase

Remote

FinOps Data Engineer

Engineering

The FinOps Data Engineer role focuses on optimizing cloud spending across AWS and GCP environments. Day-to-day responsibilities include analyzing billing and usage data to identify cost-saving opportunities, building and maintaining data pipelines and models for financial metrics, and developing automation for cost governance. This engineer works closely with teams across Engineering, Finance, and Product to ensure cost efficiency is embedded in infrastructure and operations, employing strong data engineering and data science skills to produce reliable, actionable financial insights and forecasts.

  • SaaS

QuantX Labs

New Product Introduction Engineer

Engineering

The New Product Introduction Engineer leads the process of transitioning complex hardware products from development into reliable production. Working closely with teams across engineering, manufacturing, quality, and supply chain, this role coordinates pilot builds, develops manufacturing readiness plans, and drives continuous improvements to ensure efficient and consistent product manufacturing.

  • Quantum

Arkeus

Melbourne

Data Engineer

Engineering

As a Data Engineer based in Port Melbourne, you will be responsible for building and managing data pipelines that process raw imagery and video from optical sensing platforms. Your day-to-day tasks include designing scalable ETL workflows, ensuring data quality, and working alongside product and engineering teams to enable data-driven insights.

  • AI
  • Deep tech
  • Defence