20 publicaciones de empleo destacadas de data engineer en centro (área 1), dif (¡Están contratando!)

Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Acceleration Center - Advisory National CT&I - Data Engineer - Manager
PwC —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Maestría
- SQL
Supply Chain Business Intelligence Engineer
Ford Motor Company —Naucalpan, Méx.
- Azure
- Informática
- Análisis de datos
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $55,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
Senior Analytics Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- SQL
- Python
Senior Data Platform Engineer (AI & Lakehouse)
Oracle —Ciudad de México, CDMX
- Tiempo completo
- Inglés
ETL Developer - AB Initio/AWS Glue
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- Habilidades de comunicación
- Python
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
8d
DATA ENGINEER - DATA CONVERSIONS JR-MID
Enroute —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Análisis de datos
- Inglés
- Seguro de vida
Postulación rápida
6d
Principal Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $80,000 a $94,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Staff Data Engineer
Ben & Frank —Azcapotzalco, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- Ingeniería
Postulación rápida
9d
Data Engineer 1
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
Data Engineer
Lyft —Ciudad de México, CDMX
- Administración de personal
- Inglés
- SQL
Data Engineer Senior – ETL & Python 2796
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- Inglés
- SQL
- Python
Postulación rápida
Supply Chain Business Intelligence Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Azure
- Informática
- Análisis de datos
Senior Data Engineer - BT Zone
l'Oréal —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
Postulación rápida
6d
GCP Data Engineer Jr
Ucloud —Ciudad de México, CDMX
- SQL
- Experiencia en construcción
- Python
Postulación rápida
Especialista Senior en IA y Automatización (GCP & Gemini)
Omnistar MX —Colonia Lomas de Chapultepec, CDMX
- $80,000 a $90,000 por mes
- Tiempo completo
- Inglés
- JavaScript
- Python
- Seguro de vida
Postulación rápida
22h
SAP Analytics Engineer (Datasphere)
Capgemini —Ciudad de México, CDMX
- $1 por año
- Tiempo completo
- Trabajo híbrido
- Azure
- SQL
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
AWS Data Engineer
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- DevOps
- SQL
- Capacidad analítica
8d

Quiero recibir la alerta de empleo más reciente para data engineer en centro (área 1), dif

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Data Engineer - Databricks

Zurich Insurance -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Modelado de datos
Azure
Derecho
Informática
Big data
DevOps
Spark
Git
Inglés
Sistemas de información
Experiencia en bases de datos
SQL
Licenciatura
Sistemas de control de versiones
Apache
Kafka
Python

Descripción completa del empleo

#ZCC

Zurich Capability Center is currently hiring a:

Data Engineer - Databricks

Responsibilities

As a Data Engineer, your main tasks will involve:

Design, build, and maintain scalable data pipelines using Databricks and cloud-based data platforms.
Develop, optimize, and automate ETL/ELT processes to support analytics, reporting, and machine learning initiatives.
Work closely with Data Scientists, Analysts, ML Engineers, and business stakeholders to understand data requirements and deliver reliable datasets.
Implement data ingestion frameworks from multiple structured and unstructured data sources.
Build and maintain data models, data lakes, and data warehouses that support enterprise analytics needs.
Ensure data quality, consistency, governance, and security across platforms.
Optimize Spark workloads and Databricks environments for performance and cost efficiency.
Support deployment and operationalization of machine learning solutions by providing production-ready datasets and feature pipelines.
Collaborate with Azure, IT, and DevOps teams to implement CI/CD and DataOps best practices.
Monitor, troubleshoot, and continuously improve data platform performance and reliability.

Your Skills and Experience

As a Data Engineer, your skills and experience will ideally include:

Required

Bachelor's Degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
3+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
Strong programming skills in Python and SQL.
Hands-on experience with Databricks, Apache Spark, and distributed data processing.
Experience designing and developing ETL/ELT data pipelines.
Experience working with Data Lakes and modern data architectures.
Understanding of data modeling concepts including Star Schema and Dimensional Modeling.
Experience working with Git and version control systems.
Strong analytical and problem-solving skills.
English level B2 or higher.

Preferred Qualifications

Experience with Azure Data Platform services, including:
- Azure Databricks
- Azure Data Factory
- Azure Data Lake Storage
- Azure Synapse Analytics
- Azure DevOps
Experience working with Delta Lake and Lakehouse architecture.
Knowledge of orchestration tools such as Airflow, Databricks Workflows, or Azure Data Factory.
Experience supporting Machine Learning use cases and MLOps practices.
Familiarity with MLflow and model deployment processes.
Knowledge of CI/CD, Infrastructure as Code, and DataOps practices.
Experience with streaming technologies such as Kafka or Event Hubs.
Experience working in Agile environments.
Insurance industry experience is a plus.

Nice to Have

Experience collaborating with Data Science teams and supporting AI/ML initiatives.
Knowledge of Generative AI, LLM data pipelines, vector databases, and embedding workflows.
Experience with Unity Catalog, data governance, and metadata management.
Exposure to cloud-native architectures and enterprise-scale data platforms.

If you are interested, please apply directly through this link or send your resume to [email protected].

Position available only for candidates located in Mexico City, State of Mexico, or Guadalajara. Please apply only if you reside in one of these areas.

Who we are

Looking for a challenging and inspiring work environment where you can make a difference? At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises.

So be challenged. Be inspired. Help us make a difference.

At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability.

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Refina tu búsqueda

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