Data 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 2 million customers and partner with more than 20,000 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

Build and maintain a reliable, scalable data platform, including its underlying infrastructure, that ensures 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, and 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, participating actively in code reviews and contributing 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

  • Strong command of Python for building, optimizing, and maintaining data pipelines, with proven experience in libraries essential for data engineering

  • Deep expertise in SQL for complex data manipulation, querying, optimization, and defining data schemas.

  • Hands-on experience with Apache Spark (PySpark or Scala Spark) for large-scale distributed data processing, including optimizing Spark jobs and working with Spark environments.

  • Proven experience designing, developing, and managing data workflows using Apache Airflow or similar orchestration tools.

  • At least 2 years of proven experience designing, implementing, and maintaining production-grade data pipelines that are robust, scalable, and highly available.

  • Experience with data warehousing (e.g., Snowflake, Databricks).

• Ownership capabilities

  • Demonstrates accountability by taking the initiative to solve problems and ensure data pipelines are resilient and production-ready.

  • Shows a proactive and eager approach, paying close attention to detail to ensure the quality and reliability of the data platform.

  • Acts as a responsible steward of the data platform, providing good support and help to colleagues who depend on it.

• Communication & Collaboration

  • Ability to clearly and concisely communicate complex technical concepts to both technical and non-technical stakeholders.

  • Works seamlessly with cross-functional teams, including Data Scientists, Data Analysts, Product, and other Engineering teams, prioritizing collective success.

  • Proficient in English for effective communication within our multicultural environment.

• Business Acumen

  • Adept at prioritizing tasks and managing expectations in a fast-paced, dynamic environment.

  • Demonstrated ability to understand complex business needs and translate them into efficient and scalable technical solutions for data pipelines.

• Nice-to-Haves

  • Experience with streaming services (e.g., Spark Structured Streaming, Apache Flink, Databricks DLT).

  • Familiarity with Kafka or other message queuing systems.

  • Understanding of data governance principles and best practices.

  • Exposure to real-time data processing architectures.

  • Airbyte or any data acquisition tool like Fivetran

  • Hands-on experience building and deploying data solutions on cloud platforms, with a strong preference for AWS (e.g., S3, EC2, Lambda, RDS, DMS).

Why join us?

• Work on a problem that truly matters – We are redefining how people shop, pay, and bank in Colombia, breaking down financial barriers and empowering millions. Your work will directly impact customers' lives by creating more accessible, seamless, and fair financial services.

• Be part of something big from the ground up – This is your chance to help shape a company, influencing everything from our technology and strategy to our culture and values. You won’t just be an employee—you’ll be an owner

• Unparalleled growth opportunity – The market we’re tackling is massive, and we’re growing faster than almost any fintech lender at our stage. If you’re looking for a high-impact role in a company that’s scaling fast, this is it.

• Join a world-class team – Work alongside top-tier talent from around the world, in an environment where excellence, ownership, and collaboration are at the core of everything we do. We care deeply about what we build and how we build it—and we want you to be a part of it.

• Competitive compensation & meaningful ownership – We believe in rewarding our talent. You’ll receive a generous salary, equity in the company, and benefits that go beyond the basics to support your growth.

How the hiring process looks like

We believe in a fast, transparent, and engaging hiring experience that allows both you and us to determine if there's a great fit. Here’s what our process looks like:

• Step 1: People Interview (30 min)
  A conversation with a recruiter to get to know you, your experience, and what you're looking for. We’ll also share more about Addi, our culture, and the role.

• Step 2: Initial Interview (45 min)
  A more in-depth conversation with the hiring manager, where we explore your skills, experience, and problem-solving approach. We want to understand how you think and work.

• Step 3: Take Home Challenge (5-6 days)
  Complete a simple take-home challenge within a 1-week window. With this technical challenge, we want to see your technical expertise solving a real-world problem. We expect that you invest 5 hours or less in developing a working solution.

• Step 4: Take Home Challenge Review (60 min)
  Meet with a Data Engineer and the Data Enginer Manager to talk about your take-home exercise submission and any questions you might have.

• Step 5: Co-Founder Interview (30 min)
  If there’s a strong match, you’ll have a final conversation with our Founder to align on expectations, cultural fit and ensure mutual excitement. From there, we’ll move quickly to an offer and discuss next steps.

We value efficiency and respect for your time, so we aim to complete the process as quickly as possible. Our goal is to make this experience insightful and exciting for you, just as much as it is for us. Regardless of the outcome, we are committed to always providing feedback, ensuring that you walk away with valuable insights from your experience with us.