ironquill.tech/board

$ cat jobs/intermediate-data-engineer-ab-inbev-growth-group-8b5bdfb3dc69.json

Intermediate Data Engineer

AB InBev | Growth Group·LATAM·Remote, Brazil·mid
swift
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About Us AB InBev is the leading global brewer and one of the world's top 5 consumer product companies. With over 500 beer brands, we're number one or two in many of the world's top beer markets, including North America, Latin America, Europe, Asia, and Africa. About BEES Join us to build the future of B2B commerce! BEES is AB InBev's B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow. Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference! What You'll Do - Own high-visibility FinOps and data initiatives tied to the company's most strategic KPIs. - Drive company-wide cost performance with an Excellence in the Means mindset, ensuring disciplined execution, sustainable efficiency, and measurable impact. - Lead optimization programs across Databricks workloads, pipelines, clusters, and storage to unlock scalable efficiency. - Build executive-ready dashboards and narratives that translate cost and performance into business impact. - Monitor spend in real time, detect anomalies early, and orchestrate swift cross-team action. - Define and elevate FinOps governance, standards, and accountability across domains. - Partner with engineering and platform teams to shape cost-efficient architecture decisions from day one. - Drive showback/chargeback transparency and strengthen unit-economics visibility at domain level. - Influence budget planning and forecasting with data-driven insights and ROI-based prioritization. - Convert technical findings into clear recommendations for product, finance, and leadership stakeholders. - Collaborate with Data, Finance, Product, Cloud, and Ops to accelerate measurable business outcomes. Wha

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