7 publicaciones de empleo destacadas de data engineer en cuauhtémoc, cdmx (¡Están contratando!)

Senior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Informática
- Maestría
1d
Junior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Administración de personal
- Informática
1d
Consultor/a de datos en Azure
SDG Group —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Postulación rápida
Consultor Databricks Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Consultor Snow Flake Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Data Engineer | Power BI
HITSS —Ciudad de México, CDMX
- Hasta $45,000 por mes
- Tiempo completo
- Azure
- Oracle
- Informática
- Descuentos y precios preferenciales
- Seguro de gastos médicos
Postulación rápida
1d
Data Engineer (Ciudad de México, Miguel Hidalgo)
BBVA —Miguel Hidalgo, CDMX
- Tiempo completo
- Informática
- Ingeniería
- Licenciatura
1d

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Mantenerse actualizado en mejores prácticas de análisis forense, compliance y data analytics. Asegurar la integridad, trazabilidad y análisis de la información…
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Senior Data Engineer

International Flavors & Fragrances -
Tlalnepantla, Méx.

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Información del empleo

Tiempo completo
Hace 1 día

Cualificaciones

Modelado de datos
Azure
Informática
Ingeniería de software
Maestría
SQL
Diseño de base de datos
Licenciatura
Python

Descripción completa del empleo

Job Summary

Are you passionate about analytical science and eager to contribute to the creation of world-class fragrance innovations?

IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products.

Digital Technology Solutions: Accelerating innovation through data, technology and digital transformation, building intelligent solutions that enhance experiences and power smarter decisions.

The role is based in Tlalnepantla (hybrid role) . Be part of a detail-oriented, collaborative and growth-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.

Where You'll Make a Difference

Design, develop, and optimize scalable data pipelines that integrate data from multiple enterprise platforms, including R&D, SAP, Digital, and external sources.
Lead the transformation of complex raw data into high-quality, business-ready datasets that support analytics, reporting, AI, and data products.
Architect and maintain reliable, high-performance data solutions that ensure data accessibility, scalability, and operational excellence.
Drive automation initiatives to improve data ingestion, processing, monitoring, and deployment processes.
Partner with business and technical stakeholders to define and implement data products that generate measurable business value.
Implement advanced data quality controls, monitoring frameworks, and validation processes throughout the data lifecycle.
Develop and maintain data applications and self-service solutions that improve data accessibility and user adoption.
Ensure adherence to data governance, security, privacy, and compliance standards across all data platforms and solutions.
Mentor junior engineers and contribute to establishing data engineering best practices, standards, and technical roadmaps.

What Makes You the Right Fit

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
5+ years of experience in Data Engineering, Data Integration, Data Platform Development, or related technical roles.
Strong expertise in SQL and Python for data engineering, automation, and large-scale data processing.
Extensive experience designing and managing ETL/ELT pipelines in cloud-based environments.
Hands-on experience with modern data platforms such as Snowflake, Databricks, Azure, AWS, or similar technologies.
Strong understanding of data modeling, data architecture, database design, and performance optimization.
Experience integrating data through APIs, event-driven architectures, and multiple enterprise data sources.
Familiarity with Data Governance, Data Quality, Security, and Metadata Management principles.
Excellent leadership, stakeholder management, communication, and problem-solving skills.

How Would You Stand Out?

Experience building data products and self-service analytics solutions using tools such as Streamlit.
Experience supporting AI, Machine Learning, Advanced Analytics, or Data Science initiatives.
Relevant certifications in Cloud Technologies, Data Engineering, Snowflake, Databricks, Azure, AWS, or similar platforms.

Why Choose Us?

Competitive compensation and benefits package above statutory requirements.
Opportunity to work with cutting-edge cloud, analytics, and data platform technologies.
Exposure to global projects and collaboration with diverse international teams.
Career growth opportunities in a world-class, innovation-driven organization.
Inclusive and collaborative culture that values continuous learning and development.
Direct impact on strategic business initiatives through data-driven solutions and digital transformation.

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

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data engineer empleos en cuauhtémoc, cdmx

Senior Data Engineer

Junior Data Engineer

Consultor/a de datos en Azure

Consultor Databricks Senior

Consultor Snow Flake Senior

Data Engineer | Power BI

Data Engineer (Ciudad de México, Miguel Hidalgo)

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