20 publicaciones de empleo destacadas de machine learning en cuauhtémoc cdmx (¡Están contratando!)

Data Engineering Director: eCommerce & Consumer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Desarrollo de software
- Liderazgo
Postulación rápida
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Ingeniero de Datos Inversiones Alternativas - Publicación vencida
Sura —Cuauhtémoc, CDMX
- $68,000 por año
- Microsoft Excel
- Inglés
- SQL
Senior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Informática
- Maestría
Consultor Databricks Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Sr. Analyst - Data Science
TransUnion —Miguel Hidalgo, CDMX
- Tiempo completo
- Azure
- Administración de personal
- SQL
9d
Senior Analytics - Regulatory Solutions
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- SQL
- Python
- Seguro de vida
Postulación rápida
Custom Analytics Manager II
TransUnion —Miguel Hidalgo, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
la26.042 - Data Engineer
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
CYBERSECURITY SPECIALIST
PROXIM —Ciudad de México, CDMX
- Tiempo completo
- Python
Sr. Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Senior Full Stack Engineer – Lab Connect
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Experiencia en bases de datos
Business Intelligence Developer I, Google Cloud
Google —Ciudad de México, CDMX
- Experiencia en ventas
- Inglés
- Maestría
Data Analyst, Supply Chain
Serve Robotics —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Administración de personal
- Análisis de datos
Senior Software Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Software Engineer II - Java
JPMorganChase —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Java
- JavaScript
- Desarrollo de software
Data Scientist
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Doctorado
- Informática
Postulación rápida
CONSULTOR C2 INGENIERO ML
Gentera —Ciudad de México, CDMX
- Python
- Seguro de vida
Especialista Ciencia de Datos Sr.
GNP Seguros —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Ingeniería
1d
Data & AI Scientist
Klar Technologies SA de CV SFP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Inglés
- SQL
Postulación rápida
10d

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Data Engineering Director: eCommerce & Consumer

Levi Strauss & Co. -
Centro (Área 1), CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Modelado de datos
Azure
Big data
Spark
Google Cloud Platform
Desarrollo de software
Kafka
Liderazgo

Descripción completa del empleo

Job Location: Mexico City, Mexico

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.

We are seeking a strategic and execution-focused Data Engineering Director for eCommerce and Consumer data team. In this highly visible global role, you will drive the vision and delivery of best-in-breed data solutions that power our digital experiences and unlock the full value of all our data. Your leadership will enable teams across marketing, product, digital commerce, and customer experience to make smarter, faster, and more personalized decisions at scale. This role will be responsible for delivering data that will help us understand and optimize the digital customer journey, enables hyper-personalization at scale, drives retention and loyalty and fuels advanced AI/ML use cases across the company.

This is a high-impact leadership role at the intersection of data engineering, analytics, and AI/ML enablement—ideal for someone who thrives in building high-performance teams and enterprise-grade data platforms that are the backbone of customer-centric innovation.

About the Job

Lead and grow a high-performing global data engineering team focused on eCommerce and Consumer analytics.

Architect and oversee the implementation of robust pipelines for clickstream data ingestion, transformation, and enrichment from web, mobile, and digital touchpoints.

Partner with analytics, data science, ecommerce engineering and product teams to define reusable, high-quality data products that drive critical KPIs: user engagement, conversion, retention, LTV, churn, etc.

Drive the roadmap for real-time event driven and batch processing architectures, enabling rapid experimentation and decision-making.

Ensure best practices in data governance, quality, lineage, and observability—across large volumes of consumer and behavioral data.

Lead the integration of third-party enrichment sources and identity resolution technologies to build a 360° view of the consumer.

Advance platform capabilities that support AI/ML-driven personalization, segmentation, and journey optimization.

Champion scalable data architecture aligned with our broader modern data platform strategy.

Foster a strong engineering culture that values innovation, quality, speed, and inclusivity.

Champion privacy, ethics, and security in data practices to ensure compliance with regulatory standards and foster consumer trust.

About You

10+ years of experience in data engineering, with at least 3–5 years leading high-performing teams in digital commerce or consumer analytics environments.

Experienced in software development, CI/CD pipelines, testing, operations, on-call rotation setup, and observability

Deep technical expertise in cloud-native data platforms (e.g., GCP, AWS, Azure) and big data frameworks (Spark, Kafka/pub-sub, etc).

Proven experience building and scaling clickstream pipelines and digital data infrastructure, ideally using tools like Segment, Adobe/GA4, etc.

Experience with customer data platforms (CDPs), identity resolution, and privacy-aware data modeling.

Strong command of data warehousing (e.g., BigQuery, Snowflake) and ELT tools (e.g., dbt, Airflow/Kubeflow).

Ability to translate ambiguous business goals into actionable data solutions.

Familiarity with machine learning pipelines and collaboration with data science teams.

Strong cross-functional leadership skills—comfortable aligning with marketing, digital product, engineering, and privacy/legal stakeholders.

Why Join Us

You’ll be part of a company investing deeply in data and AI to transform how we serve and understand our customers. You’ll help shape a data ecosystem that delivers precision, personalization, and performance at scale—and lead a team that's at the forefront of redefining how consumer and digital data power growth.

LOCATION

Mexico, D.F., Mexico

FULL TIME/PART TIME

Full time

Current LS&Co Employees, apply via your Workday account.

Postulación rápida

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machine learning empleos en cuauhtémoc cdmx

Data Engineering Director: eCommerce & Consumer

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Quiero recibir la alerta de empleo más reciente para machine learning en cuauhtémoc cdmx

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Current LS&Co Employees, apply via your Workday account.

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