[Hiring] Data Engineer @Addi

Role Description

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 and evolve the core data ingestion and transformation platform to deliver highly reliable, governed, and agile data architecture.
• Serve as the engine that reduces technical friction, ensuring absolute data integrity for critical functions such as Risk, Lending, and Finance.

What you will do

• Own Core Data Pipelines: Lead the end-to-end design, deployment, and operational monitoring of mission-critical data pipelines to ensure high availability and strict SLO/SLI performance.
• Standardize Data Ingestion: Drive the migration to a unified ingestion framework, establishing standardized CDC patterns, schema evolution, and automated data quality checks across Bronze, Silver, and Gold layers.
• Build Self-Serve Observability: Design monitoring dashboards, alerting systems, and runbooks that enable engineering teams to diagnose and resolve data incidents independently.
• Implement Data Governance: Enforce enterprise-wide data governance, RBAC, and data classification to ensure security, auditability, and compliance across business domains.
• Boost Developer Productivity: Create standard pipeline templates, CI/CD automated checks, and local testing utilities to accelerate release cycles and improve engineering standards.
• Partner Cross-Functionally: Collaborate with Product, Analytics, Finance, and Operations teams to translate business needs into robust, accessible datasets.
• Drive Platform Excellence: Continuously optimize pipeline efficiency, automate manual processes, and introduce industry best practices across the data engineering ecosystem.

Qualifications

• 4+ years in Data Engineering: Proven track record building and operating production-grade data pipelines, ideally within a high-growth startup or fintech environment.
• Educational Background: Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related technical field.
• System Design & Pragmatism: Demonstrated ability to design pragmatic systems with clear trade-offs, documented via Architectural Decision Records (ADRs).
• End-to-End Ownership: Experience taking pipelines from concept and design through deployment, live monitoring, and post-production iteration.
• Modern Data Stack: Strong hands-on experience with Databricks, PySpark, and Delta Lake across both batch and streaming architectures.
• Workflow Orchestration: Solid experience using Airflow (or similar tools) for scheduling, backfills, retries, and managing SLAs/SLOs.
• Layered Architectures: Deep familiarity with Medallion architectures (Bronze/Silver/Gold) and incremental processing techniques (CDC, merge patterns).
• Software Engineering Fundamentals: High standard for clean code, testing, CI/CD pipelines, performance tuning, and Git workflows (PRs, code reviews).
• Data Quality Controls: Expertise implementing proactive data quality checks, data contracts, and anomaly detection to prevent silent failures.
• Observability & Incident Response: Proven ability to build monitoring dashboards, alerting frameworks, and runbooks that reduce MTTR and improve on-call response.
• Data Governance: Hands-on experience with fine-grained access control (e.g., Unity Catalog), PII classification, DLP, and auditability without sacrificing developer speed.
• Cross-Functional Communication: Ability to translate complex infrastructure decisions into business impact for stakeholders in Risk, Finance, Product, and Operations.

Benefits

• Work on a problem that truly matters – Redefining how people shop, pay, and bank in Colombia, breaking down financial barriers and empowering millions.
• Be part of something big from the ground up – Help shape a company, influencing everything from technology and strategy to culture and values.
• Unparalleled growth opportunity – Join a fast-growing fintech lender with a massive market to tackle.
• Join a world-class team – Work alongside top-tier talent from around the world in an environment focused on excellence, ownership, and collaboration.
• Competitive compensation & meaningful ownership – Receive a generous salary, equity in the company, and benefits that support your growth.

How the hiring process looks like

• Step 1: People Interview (30 min) - A conversation with a recruiter to get to know you and share more about Addi.
• Step 2: Initial Interview (60 min) - An in-depth conversation with the hiring manager to explore your skills and experience.
• Step 3: Take Home Challenge (5-6 days) - Complete a simple take-home challenge within a 1-week window.
• Step 4: Stakeholder interview (60 min) - Meet with a Data Engineer and the Head of Data.
• Step 5: Co-Founder Interview (30 min) - Final conversation with the Founder to align on expectations and cultural fit.