Analytics Engineer

Responsibilities

• Understand and document our marketing data platform
• Get to know how marketing data flows through the company: where it comes from, how it’s processed, and how it reaches the tools our marketing teams use every day, like Braze, AppsFlyer, and Google Tag Manager. You’ll document it clearly so that both people and AI agents can use it, and propose a prioritized roadmap of improvements.
• Make our data pipelines reliable
• Add testing and monitoring to our most important data pipelines so data arrives on time, issues are caught early, and problems are resolved quickly.
• Automate with AI agents
• Design and launch AI agents and automated workflows that take over repetitive data requests, such as building audience segments, checking data quality, and keeping documentation up to date. You’ll make sure they’re adopted by the team and easy for others to operate.
• Make the platform efficient
• Improve the cost and performance of our marketing pipelines by removing unused or duplicated tables and jobs.
• Keep our data organized and trusted
• Maintain a single catalog of marketing data, with clear owners and approval rules, so everything we send to marketing tools comes from official, trusted sources.

Preferred

• Experience with marketing tools: CRM (Braze or similar), app attribution (AppsFlyer or similar), and tag management (GTM).
• Reverse ETL or CDP experience.
• Deeper data platform experience: advanced pipeline tools, Spark performance tuning, or a data platform certification.
• Experience with LLM APIs, LiteLLM, or building MCP servers.
• A/B testing and basic statistics.
• Knowledge of data privacy rules (consent, opt-out, Habeas Data).
• AWS and fintech or other regulated industry background.

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 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 used SQL warehouses, notebooks and scheduled jobs, and understands catalog, schema, table and permissions (advanced Spark tuning not required)
• Uses tests, monitoring and alerts by default; comfortable with on-call and fixing issues at the root

Demonstrates ability to automate and integrate with Python

• Builds scripts and API integrations that others can run without the author
• Experienced in using coding agents daily for real data work
• Uses Claude Code, Codex, Cursor or similar, not just autocomplete
• Writes a spec before building (inputs, outputs, transformations, checks), delegates multi-step tasks to the agent and reviews the result

Can show a before and after

• Has solid expertise in building agents and agentic workflows that others use
• Has built at least one agent or workflow that chains LLM calls with tools (SQL, APIs, MCP servers) and that other people actually use
• Understands failure modes, guardrails, and how to test an agent with real inputs

Demonstrated background in validating AI output

• Has caught AI work that looked right but was wrong (e.g., a plausible SQL query with a bad join) and added a check so it doesn’t happen again
• Knows when human review is required, especially for customer data sent to marketing tools
• Track record of writing documentation that people and agents can run on
• Writes context and runbooks (READMEs, agent instructions, data catalog entries) that let a teammate or an AI agent maintain the system without the author
• Proven ability to translate business needs and own outcomes in ambiguity
• Understands what Marketing, Growth and Marketplace need and decides whether the answer is a table, a pipeline, an agent or a self-service tool, instead of a one-off report
• Manages their own backlog and ships without close direction
• Communicates clearly with technical and non-technical people; English is a must

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 or hiring manager 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 (60 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 Scientists and the Data Science Lead to talk about your take-home exercise submission and any questions you might have.

Step 5: Stakeholder Interview: (30 min)

Meet with cross-functional partner to talk about how you collaborate, communicate insights, and drive business impact, and to ask any questions about the team and its context.

Step 6: 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.