Analytics Engineer

About Addi We are a leading financial platform, building the future of payments, shopping, and banking—a world where consumers and merchants can transact effortlessly and grow together. Today, we serve over 3.6 million customers and partner with more than 55,000 merchants, making Addi Colombia’s fastest-growing marketplace. With a state-of-the-art, technology-first approach, we provide banking solutions (deposits, payments, unsecured credit) and commerce services (e-commerce, marketing), bridging the financial gap for millions and redefining how people experience financial freedom. As the country’s leading Buy Now, Pay Later provider, we have secured regulatory approval to operate as a bank, unlocking even greater opportunities for our customers. In the past year, we have also achieved profitability, reinforcing the strength of our business model and our ability to scale sustainably. Our mission has earned the trust of world-class investors, including Andreessen Horowitz, Architect Capital, GIC, Goldman Sachs, Greycroft, Monashees, Notable Capital, Quona Capital, Union Square Ventures, Victory Park Capital, and more, who back our vision for the future. With their support, we are not just growing—we are transforming Latin America’s financial ecosystem and shaping the next generation to shop, pay, and bank in Colombia. But what truly sets us apart is how we build. We are a conscious company, driven by deep experience in scaling technology, services and products, and we live by our values every day.

About the Role
This is where you come in. Below, you’ll find what this role is all about—the impact you’ll drive, the challenges you’ll tackle, and what it takes to thrive at Addi. If you’re ready to be part of something big, keep reading.

What’s the mission you’ll drive
Own Addi’s marketing data platform, the pipelines and integrations that connect our data to Braze, AppsFlyer, GTM, Marketplace and the App, using AI agents as the default way of working, to make marketing data reliable, efficient and self-service, ensuring Marketing, Growth and Marketplace teams can launch campaigns and measure acquisition with data they trust..

What you will do
Ramp up in 90 days: Map the marketing data platform end to end (sources, jobs, tables, and integrations with Braze, AppsFlyer, GTM and Marketplace) by writing documentation that both people and AI agents can use, identifying the main pain points and sharing a prioritized roadmap.

Reliable platform by month 3: Add tests and alerts to all critical marketing pipelines to reach at least 99% on-time data for key tables and integrations, cut data incidents by 50%, and find the root cause of data anomalies within 2 business days.

Agentic automation by month 6: Ship at least 2 AI agents or agentic workflows into production that handle recurring marketing data work (e.g., audience and segment requests, data quality triage, documentation upkeep), each with at least 3 active users, a runbook so others can operate it, and a documented improvement within 6 weeks of v1, together removing at least 50% of today’s manual requests to the Analytics Engineer.

Efficient platform by month 9: Reduce the cost or runtime of the main marketing pipelines by at least 30% by removing unused or duplicated tables and jobs.

Governance and documentation: Keep one catalog of marketing data (tables, events, attributes) in the data catalog, with owners and approval rules, so all data sent to marketing tools comes from official pipelines.

What we’re looking for
Proven experience writing and debugging complex SQL without AI
Writes and reads joins at scale, window functions, CTEs and incremental logic with confidence

Can tell when a query result is wrong and explain why

Builds clean, reusable tables and datamarts that are easy to extend, test and document

Track record of building and operating ELT pipelines on a modern data platform

Hands-on with dbt, Airflow or similar, plus Git and code reviews

Has