ID: *****
- 1 Opening
- Guadalajara
**Role description**:
**Data Engineer**
**Lead II - Data Engineering**
**Who We Are**:
Born digital, UST transforms lives through the power of technology.
We walk alongside our clients and partners, embedding innovation and agility into everything they do.
We help them create transformative experiences and human-centered solutions for a better world.
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries.
Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.
With us, you'll create a boundless impact that transforms your career—and the lives of people across the world.
**You Are**:
The Data Engineer (Level IV) designs, builds, and operates the data pipelines and lakehouse data products that power P≻ intelligence across device supply chain, reverse logistics, procurement, network supply chain, and real-time control tower capabilities.
**The opportunity**:
- Design and build production-grade data pipelines spanning source ingestion, bronze landing, silver transformation, and gold-layer data product delivery within the squad's domain scope.
- Own pipeline KTLO (Keep the Lights On) for assigned data products, including monitoring, ing, incident response, and ongoing reliability improvements.
- Implement data ingestion patterns for assigned source systems including batch file ingestion, API-based ingestion, and event-driven streaming (Kafka, Azure Event Hub) depending on squad scope.
- Collaborate with System Analysts to implement field-level transformations, business rule logic, and data quality checks as specified in product requirements documentation.




- Participate in and contribute to pipeline design reviews, ensuring solutions align with the organization's Databricks and Fabric engineering standards.
This position description identifies the responsibilities and tasks typically associated with the performance of the position.
Other relevant essential functions may be required.
**What you need**:
- Experience: 7-10 years
- 7-10 years of data engineering experience with a strong track record delivering production data pipelines in large enterprise environments.
- Expert proficiency in PySpark or Spark SQL for large-scale data transformation on distributed compute platforms.
- Hands-on experience with Databricks including Delta Lake, Unity Catalog, and workflow orchestration.
- Experience with Microsoft Fabric or Azure Synapse Analytics; familiarity with Fabric IQ and OneLake is a plus.
- Proficiency with pipeline orchestration tools such as Azure Data Factory, Databricks Workflows, or Apache Airflow.
- Solid SQL skills for data validation, transformation logic, and ad-hoc source system analysis.
- Experience building and maintaining ingestion pipelines from enterprise operational systems such as ERP, WMS, TMS, or comparable platforms.
- Strong understanding of data quality frameworks, including implementing checks, ing on anomalies, and maintaining SLA-compliant pipeline health.
- Experience with DevOps practices for data pipelines including version control (Git), CI/CD, and automated testing.




- Ability to operate independently on complex technical problems with mínimal oversight while maintaining clear technical documentation.
- Preferred qualifications:
- Experience with real-time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming.
- Familiarity with Oracle, ERP ingestion patterns, or large-scale ERP migration programs.
- Background in supply chain, logistics, reverse logistics, or procurement data domains.
- Experience with legacy platform migration and decommission programs.
- Python development skills beyond PySpark, including utility scripting and framework contributions.
**Benefits**
Employees receive mandatory and non-mandatory benefits such as fourteen (14) days of vacation beginning on the date of hire, vacation premium, ten (10) paid holidays, a Christmas Bonus of thirty (30) days' pay, Monthly Food Vouchers, Saving Fund, and health insurance.
Certain employees may be eligible for additional Company benefits beginning on the date of hire, including dental, disability and life insurance plans; four (4) days of personal time off per year, up to three (3) days of paid medical leave per year, and up to three (3) days of paid bereavement leave per year.
**What we believe**:
We proudly embrace the values that have shaped UST since day one.
We build our culture of Humility, Humanity, and Integrity.
These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.
**Humility**:
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
**Humanity**:
Thr

📌 Data Engineer (Guadalajara)
🏢 Ust Global
📍 Guadalajara