Data Engineer

Description

Job Summary: We are looking for a Data Engineer passionate about data quality and reliability to build and optimize robust architectures that enable business decisions. Key Highlights: 1. Build infrastructure that enables real business decisions 2. A team that values technical rigor and impact 3. Freedom to propose ideas and space to learn Are you someone who wants to build the infrastructure that enables real business decisions? At Nexu, we are looking for someone obsessed with data quality and reliability, who understands the impact of every pipeline on the business—not just whether it “runs,” but whether it is well-designed, monitored, and optimized. If you are passionate about applied data engineering and want to work with a team that values both technical rigor and tangible impact, this role is for you. Location: CDMX / Hybrid **What You’ll Do** ---------------- Build and optimize robust data architectures that ensure reliable, efficient, and secure information flow. Design and maintain scalable data pipelines (batch and streaming). Write advanced SQL for data modeling, validation, and optimization. Program in Python following best practices: OOP, documentation, and automated testing. Implement versioning, monitoring, and alerts for data flows. Ensure data quality through validations and automated tests. Collaborate with BI, Product, and Risk teams to deliver timely and consistent data. Work with cloud platforms and modern data architectures (data lakes / warehouses). **What We’re Looking For** ------------------- +4 years as a Data Engineer or in similar roles. Advanced SQL (complex queries, optimization, and data validation). Strong Python skills (OOP + engineering best practices). Experience designing scalable pipelines and data architectures. Experience working with cloud platforms (AWS, GCP, or Azure). Knowledge of versioning, monitoring, and MLOps / DevOps practices. Intermediate English. **Bonus Points if…** -------------------- You hold certifications or degrees in Big Data, Cloud, or Data Engineering. You have worked with streaming technologies (Kafka, Kinesis, Pub/Sub). You have experience implementing modern data lakes or warehouses (BigQuery, Snowflake, Redshift, Databricks). You have worked in complex or mission-critical environments. **What Awaits You at Nexu?** --------------------------- A product-focused data team committed to technical rigor and solving real problems. New challenges constantly: evolving data and a dynamic business. Freedom to propose, ownership to execute, and genuine space to learn. The opportunity to build the foundation enabling strategic decisions and impactful models. If you’re the kind of person who won’t overlook a data inconsistency, who optimizes before scaling, and who believes sound engineering is the foundation of every intelligent system—we want to meet you. Send us your profile or reach out if you’d like to learn more