11 publicaciones de empleo destacadas en data engineer (databricks) (¡Están contratando!)

Supply Chain Business Intelligence Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Azure
- Informática
- Análisis de datos
5d
Supply Chain Business Intelligence Engineer
Ford Motor Company —Naucalpan, Méx.
- Azure
- Informática
- Análisis de datos
5d
Software Development Specialist
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
8d
JR-183528 SAP BW Consultant Lead
Customertimes —Ciudad de México, CDMX
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
14d
Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
SAP Analytics Engineer (Datasphere)
Capgemini —México
- $1 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Azure - Data Engineer
Citi Value in Real Time —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
Senior Data Engineer
SunnyData —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Senior Data Engineer Bilingual
NORTHWARE SA DE CV —México
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Inglés
- Seguro de vida
Postulación rápida
Big Data Developer
Grid Dynamics —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Seguro de la vista
- Seguro de vida
Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO
Scalepex —México
- Home Office (Desde casa)
- Administración de personal
- Java
- Experiencia en bases de datos
Postulación rápida

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Supply Chain Business Intelligence Engineer

Ford de México -
Naucalpan, Méx.

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Información del empleo

Tiempo completo
Hace 5 días

Cualificaciones

ASP.NET
Power BI
Modelado de datos
Azure
Informática
Internet de las cosas
C#
Análisis de datos
Inglés
Tableau
SQL
Pandas
Licenciatura
Ingeniería industrial
Desarrollo de software
Experiencia en manufactura
Python

Descripción completa del empleo

At Ford, we made history, and now we work to transform the future of mobility for our customers, our communities, and our families. By joining us, you will build what matters and drive progress with heart, developing tangible innovations you will see on the road every day that help people move freely and pursue their dreams. Here, you can build more than vehicles; you will grow in ways that count, supported by a global family and a culture built on passion, capability, community, and trust.

Why Join Ford of Mexico?

Celebrating over 100 years of legacy in Mexico, we are more than just a business we are a vibrant, collaborative community of over 14,000 innovators shaping the global future of transportation. At Ford, we build what matters, grow where it counts, and drive progress with heart. Whether you are collaborating at our state-of-the-art Global Technology and Business Center (GTBC) or manufacturing iconic, award-winning vehicles in our world-class plants, you will find a culture evolving together, built on trust, passion, and shared purpose. Here, your work moves people forward, and your growth is personal. Join us, and let’s build what’s next together.

In this position...

In this role, you will serve as the vital link between our physical manufacturing operations and our advanced data ecosystems. By designing, optimizing, and governing robust data pipelines and semantic models, you will empower our supply chain and supplier quality teams with actionable, real-time insights. Your work will directly prevent operational bottlenecks, drive digital transformation through automation and AI, and build a unified "Single Source of Truth" that shapes the future of our global manufacturing efficiency.

You'll have...

Education: Bachelor’s degree in Mechatronics, Robotics, Computer Science, Industrial Engineering (with a data focus), or a related field—or equivalent practical experience. An advanced degree in a technology-related field is highly valued.

Experience: 2 to 3 years of experience in Analytics Engineering, Data Engineering, or Business Intelligence roles within industrial, manufacturing, or supply chain environments. Demonstrated experience implementing or supporting AI/automation projects is preferred.

Languages: Professional working proficiency in English, with the ability to communicate technical insights clearly to both technical and non-technical stakeholders.

Required Technical Stack:

Data Analysis & BI: Advanced proficiency in data modeling, DAX, and Power Query (Power BI and/or Tableau).
Data Engineering: Advanced SQL (query optimization, complex JOINs, UPSERTs) and Python (Pandas, ETL automation scripting).
Modeling & Governance: Strong experience designing Star/Snowflake schemas and applying data governance principles.

Even better, you may have...

Modern Data Stack: Experience with tools like dbt, Snowflake, or Azure Databricks.
Industrial/Operational Systems: Familiarity with SCADA, MES, IoT protocols (e.g., MQTT, Modbus), or systems like Ignition.
Software Development: Basic knowledge of C#, ASP.NET, or API development.

Ford of Mexico is committed to being an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, pregnancy, veteran status, or disability status.

Our focus is to build the best team. If you think you can bring value to Ford, love to collaborate, prioritize and aim to deliver excellence in everything you do, we encourage you to apply!

We thank all candidates for their interest, but only those selected for an interview will be contacted.

#LI-EM1

What you'll do...

Design and optimize centralized semantic data models (using tools like Power BI or Tableau) to establish a unified "Single Source of Truth" for critical supply chain and manufacturing metrics.
Develop and automate robust ETL/ELT data pipelines using SQL and Python to streamline data integration from plant systems (such as manufacturing and enterprise resource planning systems) into business intelligence platforms.
Collaborate with supplier quality and technical support teams to analyze manufacturing constraints, perform data-driven root-cause analyses, and track capacity planning and product launch milestones.
Partner with business operations and strategy teams to translate complex technical engineering data into clear, high-level reporting that supports resource allocation, budget tracking, and strategic planning.
Identify and implement automation and artificial intelligence (AI) solutions (such as Generative AI, Microsoft Copilot, or custom Python scripts) to optimize daily workflows, reporting efficiency, and technical documentation.
Establish and maintain data governance frameworks, designing scalable star/snowflake schemas to ensure data integrity, security, and long-term operational continuity.

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