Data Engineer

Description

Job Summary: We are seeking a Data Engineer passionate about data quality and reliability—someone who builds solid infrastructure for business decisions and works within a team that values technical rigor. Key Highlights: 1. Build and optimize robust, efficient data architectures. 2. Design and maintain scalable pipelines (batch and streaming). 3. Collaborate with teams to enable timely and consistent data. Are you someone who wants to build the infrastructure that enables real business decisions? At Nexu, we’re looking for someone obsessed with data quality and reliability—who understands the impact of every pipeline on the business and doesn’t settle for “it runs,” but insists on well-designed, monitored, and optimized systems. If you’re passionate about applied data engineering and want to work with a team that values technical rigor as much as impact, this role is for you. **Location: CDMX / Hybrid** **Your Responsibilities** ---------------- Build and optimize robust data architectures ensuring reliable, efficient, and secure information flow. Design and maintain scalable pipelines (batch and streaming). Write advanced SQL for data modeling, validation, and optimization. Program in Python using 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 enable 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 experience with streaming technologies (Kafka, Kinesis, Pub/Sub). You have implemented modern data lakes or warehouses (BigQuery, Snowflake, Redshift, Databricks). You’ve worked in complex or mission-critical environments. **What Awaits You at Nexu?** --------------------------- A product-focused data team committed to technical rigor and solving real-world problems. Constant new challenges: evolving data and a dynamic business. Freedom to propose ideas, ownership to execute, and space to truly 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 well-executed 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