Job Description

We’re looking for a Lead Data Engineer with strong experience designing, developing, and maintaining enterprise data solutions. This role will be responsible for the design, structure, integration, and maintenance of data across data warehouses, operational data stores, and other enterprise data infrastructures.

The idóneo candidate combines strong technical expertise in SQL, data engineering, ETL, data integration, and data architecture with strong analytical and problem-solving skills. This person will work closely with technical and business stakeholders to design reliable data solutions, optimize high-volume workloads, and ensure data is accurate, accessible, and fit for business needs.

What will you be doing?

- Own the middle layer of the data pipeline, combining Quantum interaction data with account, device,



and other operational data sources.
- Build and maintain ETL workflows that transform data on daily, weekly, and monthly schedules.
- Develop and manage AWS processing resources, validate outputs, and prepare reliable datasets for Tableau.
- Design and maintain application data structures that minimize compute requirements and support efficient dashboard performance.
- Investigate data discrepancies, troubleshoot pipeline issues, and adapt workflows as application features and reporting needs evolve.
- Collaborate with the engineering lead, fellow data engineers, application developers, and data product owners as pipelines grow in complexity.

📌 Lead Data Engineer (Guadalajara)
🏢 Blend360
📍 Guadalajara