Serena generates wind and solar energy across the Americas through owned assets in high-efficiency regions. The tech stack (Python, SQL, Snowflake, dbt, Power BI, Looker) reveals a data-engineering-forward organization; paired with active projects around 'data products connecting physical operations to market decisions' and 'scaling advanced analytics in energy markets,' the company is building a quantitative bridge between asset performance and commercial strategy. Pain points around performance monitoring and operational bottlenecks suggest the scaling challenge is real-time observability of distributed generation.
Serena is a publicly traded renewable energy operator headquartered in São Paulo, generating wind and solar power across the Americas. The company serves large enterprises pursuing decarbonization, mid-market industrial customers, and retail consumers. The business spans energy generation, commercialization, project origination, and regulatory compliance in highly regulated markets. The 201–500 person org is distributed across engineering, data, sales, finance, and legal; current hiring is concentrated in Brazil, with steady velocity across analytics, engineering, and commercial roles.
Core stack: Python, SQL, Snowflake, dbt, AWS. Analytics: Power BI, Looker, Tableau. GIS and project management: QGIS, Microsoft Project. Data warehousing and operations also use PostgreSQL and MongoDB.
São Paulo, SP, Brazil. Founded in 2008, publicly traded company with 201–500 employees.
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