
Marketplace • B2B • eCommerce
Clubbi is a Brazil-based B2B e-commerce marketplace that supplies neighborhood grocery stores (mercadinhos) with thousands of products. Through its digital platform and app it offers over 8,000 SKUs across grocery, beverages, cleaning and hygiene categories, with competitive pricing, next-day delivery for orders placed by 20:00 (no minimum), and flexible payment and credit terms. Clubbi connects suppliers to small retailers and handles ordering, logistics and payment management to simplify restocking for independent stores.
51 - 200 employees
Founded 2020
🏪 Marketplace
🤝 B2B
🛍️ eCommerce
4 days ago
🗣️🇧🇷🇵🇹 Portuguese Required

Marketplace • B2B • eCommerce
Clubbi is a Brazil-based B2B e-commerce marketplace that supplies neighborhood grocery stores (mercadinhos) with thousands of products. Through its digital platform and app it offers over 8,000 SKUs across grocery, beverages, cleaning and hygiene categories, with competitive pricing, next-day delivery for orders placed by 20:00 (no minimum), and flexible payment and credit terms. Clubbi connects suppliers to small retailers and handles ordering, logistics and payment management to simplify restocking for independent stores.
51 - 200 employees
Founded 2020
🏪 Marketplace
🤝 B2B
🛍️ eCommerce
• Design, develop, and maintain efficient, scalable data pipelines using AWS (Redshift, Glue, S3, Lambda, and others). • Structure and optimize data models to support business analysis and reporting in Power BI. • Ensure data quality, consistency, and security across all processes. • Collaborate with business and product teams, translating requirements into technical solutions. • Contribute best practices, automation, and continuous improvements to the existing data architecture.
• Minimum of 4 years of experience as a Data Engineer or in a similar role. • Strong knowledge of AWS (Redshift, Glue, S3). • Experience with data modeling and visualization tools (preferably Power BI). • Proficiency in ETL/ELT, integration, and processing large volumes of data. • Ability to work autonomously in an established but rapidly evolving environment. • Good communication skills and ability to engage with different areas of the company. • Proactive, collaborative profile with ease of adaptation to challenging environments. • Experience with data-focused programming languages (Python, SQL).
• Not specified
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