Analytics Engineer

Speedrun Talent Network; Colombia; Remoto; COP 90.000.000 - 180.000.000; Tempo pieno

Descrizione del lavoro

Addi in Colombia is seeking a data platform engineer to own the marketing data stack, connect pipelines to Braze, AppsFlyer, GTM, and the App, and enable AI-driven automation. You will document, test, and expand data workflows for marketing, growth, and marketplace teams.

You will build and operate ELT pipelines, write tests and runbooks, and drive governance to ensure trusted data across campaigns. Remote-friendly, equity-backed fintech growth story.

Competenze

• Proven experience writing and debugging complex SQL without AI.
• Writes and reads joins at scale, window functions, CTEs and incremental logic.
• 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.
• Uses tests, monitoring and alerts by default; comfortable with on-call and fixing issues at the root.
• Experienced in using coding agents daily for real data work.
• Demonstrated background in validating AI output.
• Writes a spec before building (inputs, outputs, transformations, checks).
• Proven ability to translate business needs and own outcomes in ambiguity.

Mansioni

• Ramp up in 90 days: Map the marketing data platform end to end and write docs for humans and AI agents.
• Reliable platform by month 3: Add tests/alerts to ensure 99% on-time data and reduce incidents by 50%.
• Agentic automation by month 6: Ship at least 2 AI agents/workflows with 3 active users and runbooks.
• Efficient platform by month 9: Cut costs by 30% by removing duplicates.
• Governance and documentation: Maintain a single data catalog with ownership and approval rules.

Conoscenze

SQL

Window functions

CTEs

Incremental logic

Data marts

ELT pipelines

dbt

Airflow

Git

Code reviews

Notebooks

Scheduled jobs

Python

AI code tools

Strumenti

dbt

Airflow

Git

Python

Descrizione del lavoro

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

1. 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.

2. 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.

3. 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.

4. 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.

5. 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

1. 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

1. 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

1. Demonstrates ability to automate and integrate with Python

• Builds scripts and API integrations that others can run without the author

1. 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

1. 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

1. 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

1. 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

1. 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

• Desirable Qualifications

  • 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.

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.