Job Description

Employment Type: Full-Time Location Type: Remote

About Addi

Addi is a leading financial platform dedicated to building the future of payments, shopping, and banking. Our mission is to create a world where consumers and merchants can transact effortlessly and grow together. Currently, we serve over 2 million customers and partner with more than 20,000 merchants, establishing Addi as Colombia’s fastest-growing marketplace.

Leveraging a state-of-the-art, technology-first approach, we offer comprehensive banking solutions (deposits, payments, unsecured credit) and commerce services (e-commerce, marketing). We aim to bridge the financial gap for millions and redefine the user experience of financial freedom. As Colombia’s leading Buy Now, Pay Later provider, we have secured regulatory approval to operate as a bank, opening up significant new opportunities for our customers. In the past year, we achieved profitability, underscoring the strength of our business model and our capacity for sustainable scaling.

Our mission has garnered the trust of world-class investors, including Andreessen Horowitz, Architect Capital, GIC, Goldman Sachs, Greycroft, Monashees, Notable Capital, Quona Capital, Union Square Ventures, and Victory Park Capital, among others. With their backing, we are not only growing but also transforming Latin America’s financial ecosystem and shaping the next generation of shopping, payment, and banking in Colombia.

What truly distinguishes us is our approach to building. We are a conscious company, driven by extensive experience in scaling technology, services, and products, and we embody our values daily.

About the Role

This is your opportunity to make a significant impact at Addi. Below, you'll find details about the role, the impact you'll drive, the challenges you'll tackle, and what it takes to thrive here. If you're ready to be part of something significant, read on.

What’s the Mission You’ll Drive?

You will build and maintain a reliable, scalable data platform, including its underlying infrastructure, to ensure the robustness of our data. This role will own the ingestion and transformation pipelines, delivering resilient systems to production that provide the foundational data for all of Addi's analytical capabilities and critical business operations. You will play a key role in the implementation of the Customer Experience (CX) Platform from a data perspective.

What You Will Do:

• Own and deliver robust data pipelines: Within the first 90 days, successfully take ownership of key ingestion and transformation pipelines, ensuring their stability, performance, and scalability in production.
• Contribute to platform reliability: Proactively identify and address potential data quality issues, performance bottlenecks, and system vulnerabilities. Actively participate in code reviews and contribute to the overall architectural design of our data platform within the first six months.
• Support critical business operations: Within the first six months, ensure data freshness and availability for at least three critical business operations, minimizing downtime and data discrepancies.
• Drive data platform enhancements: Lead at least one initiative within the first year to improve the efficiency, cost-effectiveness, or functionality of our data platform (e.g., implementing new tools, optimizing existing processes, improving monitoring capabilities), demonstrating a proactive approach to continuous improvement.
• Participate in on-call rotations: Actively participate in on-call rotations for critical data pipelines, providing timely resolution to incidents and contributing to the creation and improvement of runbooks and alert systems from day one.

What We’re Looking For:

Technical Proficiency:

• Python: Strong command of Python for building, optimizing, and maintaining data pipelines, with proven experience in libraries essential for data engineering.
• SQL: Deep expertise in SQL for complex data manipulation, querying, optimization, and defining data schemas.
• Apache Spark: Hands-on experience with Apache Spark (PySpark or Scala Spark) for large-scale distributed data processing.