Blendis is a premier AI services provider, committed to co‑creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world‑class people and data‑driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit Job Description
We are looking for a skilled Data Engineer with 4+ years of experience to design, build, and maintain scalable data pipelines and platforms using Azure and Databricks. The ideal candidate will work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions that enable data‑driven decision‑making.
Responsibilities Design, develop, and optimize end‑to‑end data pipelines using Azure Databricks
Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases
Design and build modular, reusable code components to support multiple journeys and reduce duplication
Consolidate key KPIs, metrics, and attributes into standardized data structures to enable adaptable journey views
Build and maintain scalable data models to support current and future journey analytics use cases
Ensure data quality, performance, and reliability across data pipelines and analytics datasets
Collaborate with analytics and engineering teams to improve data processes and architecture Qualifications 4+ years of experience in Data Engineering
Solid experience with Databricks




Strong experience working with Git Hub repositories and version control workflows
Hands‑on experience developing and maintaining data pipelines in Azure Databricks
Strong experience with SQL and large‑scale data processing
Proven experience refactoring and maintaining legacy codebases
Hands‑on experience with Apache Spark (Py Spark preferred)
Experience working with DBT for data transformation and modeling
Strong understanding and hands‑on experience with Medallion Architecture (Bronze, Silver, Gold)
Strong understanding of data modeling and reusable component design
Experience building scalable data models for analytics and reporting use cases
Strong focus on data quality, performance, and reliability
Ability to work in cross‑functional environments and contribute to continuous improvement
Ability to work independently and take ownership of initiatives after receiving high‑level direction, driving tasks forward with minimal supervision Benefits and Perks Certifications in AWS (Blend is an AWS partner), Databricks, and Snowflake
Access to AI learning paths to stay up to date with the latest technologies
Study plans, courses, and additional certifications tailored to the role
Access to Udemy Business, offering thousands of courses to boost technical and soft skills
English lessons to support professional communication
Travel opportunities to attend industry conferences and meet clients
Career development plans and mentorship programs to shape your path
Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones
Company‑provided equipment
Flexible working options to help you strike the right balance Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters. #J-18808-Ljbffr

📌 Data Engineer (Guadalajara)
🏢 Blend
📍 Guadalajara