Senior Data Engineer - Sao Paulo São Paulo, São Paulo, Brazil

We're quickly growing and super excited for you to join us!

Why Topsort? Why now?

Topsort is changing the way Retail Media works. By joining our scaling team, you'll feel your impact from day 1. The processes and messaging you build today will be a critical part of our foundation as we accelerate toward 200 Topsorters worldwide, and your innovations will leave a lasting mark on the industry, as a whole. Retail Media is on the verge of a new era, and Topsort is gathering the ecosystem together to shape a brighter future. Joining us now, you'll work directly alongside our co-founders and founding members to bring on Retail Media 3.0. If you're looking to define your career as something greater than yourself, come scale with us.

What it's like to work at Topsort

Our team is all about straightforward communication, embracing feedback without taking it personally, and fostering a super collaborative environment. It's a sports team that's hyper focused on winning, collaborative internally, and competitive externally - never the other way around. We thrive on working in the open, lifting each other up, and getting things done with a sense of urgency. We're the kind of team that loves making bold choices, sharing extraordinary opinions, and maintaining a 100 mph pace. No endless meetings here – if it can be done today, we're all about getting it done today.

What is this role like?

As a Senior Data Engineer , you will be responsible for designing, building, and maintaining scalable data infrastructure and pipelines. You will collaborate with cross-functional teams to ensure the availability, reliability, and efficiency of data systems, enabling data-driven decision-making across the organization.

• Design, develop, and maintain robust ETL / ELT pipelines to process and transform large datasets efficiently.
• Optimize data architecture and storage solutions to support analytics, machine learning, and business intelligence.
• Work with cloud platforms (AWS) to implement scalable data solutions.
• Ensure data quality, integrity, and security across all data pipelines.
• Collaborate with data scientists, analysts, and software engineers to support data-driven initiatives.
• Monitor and troubleshoot data workflows to ensure system performance and reliability.
• Create APIs to provide analytical information to our clients.

What (we think) you need to be successful

Why it's awesome to work at Topsort

Do you sound like the right fit? Let's dive right in!

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Are you located in either Santiago or Sao Paulo? You wont need to go to the office mandatory, but we look for this locations for better synch

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