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FinOps Data Engineer
About this role
The role is for a FinOps Data Engineer to drive cost optimisation and cloud financial governance across AWS and GCP. The person will collaborate with Engineering, Finance and Product to identify and ship savings, build tooling to improve cloud cost efficiency, and promote cost awareness across teams. It is a hands-on engineering position responsible for the data side of cost, usage, and margin analytics, including data models, pipelines and trustworthy reconciled mart tables. Strong communication is needed to explain savings cases and data implications to technical and non-technical stakeholders.
What you would do
- Identify and implement cost savings across AWS and GCP from billing and usage data
- Design and maintain the FinOps data pipeline with BigQuery and dbt models
- Build cost-versus-revenue and customer segmentation models
- Apply data science techniques for forecasting and anomaly detection on cost data
- Develop cost attribution through tagging policies and chargeback/showback mechanisms
- Automate cost governance with reporting, anomaly detection and alerting via code
- Contribute to architecture discussions to optimise cost from the design phase
- Support forecasting and reporting with finance on budgets and KPIs and build self-serve analytics dashboards
What they are asking for
- Strong AWS expertise and working knowledge of GCP pricing and billing
- Data engineering experience with dbt, BigQuery or equivalent, SQL at scale, and dimensional data modelling
- Foundations in data science including forecasting and anomaly detection
- Automation and scripting skills in Python, Terraform/Pulumi, Lambda or Bash
- Familiarity with cost/billing tools like AWS Cost Explorer, CUR, and GCP Billing Reports; BI/dashboarding experience
- Experience with or willingness to learn using Linear and Notion as FinOps documentation systems
- Prior experience in FinOps, cloud cost management, or cloud governance contexts
- Ability to communicate cost analyses clearly to technical and non-technical audiences
- Comfort with hands-on work and cross-functional collaboration
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