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

People Data & Insights Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Inglés
- SQL
- Licenciatura
Junior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Administración de personal
- Informática
18h
Senior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Informática
- Maestría
18h
ETL/Data Migration Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Inglés
Data Engineer
HSBC Global Services Limited —Azcapotzalco, CDMX
- Tiempo completo
- Microsoft Excel
- Azure
- Administración de personal
7d
Senior Analytics Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- SQL
- Python
Supply Chain Business Intelligence Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Azure
- Informática
- Análisis de datos
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
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- 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
2d
Databricks Data Engineer
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Inglés
- SQL
Postulación rápida
Vehicle Propulsion Systems Engineering
Ford Motor Company —Naucalpan, Méx.
- Administración de personal
- Informática
- DevOps
8d
PMTS - Principal Agentic Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
14d
BI Azure Data Engineer
Connectingology —Ciudad de México, CDMX
- $60,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
2d
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
ETL/Data Engineer
Orion Innovation —Ciudad de México, CDMX
- Oracle
- Informática
- Ingeniería
Postulación rápida
13d
Especialista Senior KingswaySoft / ETL Integration Engineer
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- Azure
- Oracle
- DevOps
13d
Vehicle Propulsion Systems Engineering
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Administración de personal
- Informática
- DevOps
7d
Data Engineer
NEXU —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Postulación rápida
Lead Data Engineer / Business Intelligence
Rubik Ventures —Granada, CDMX
- Análisis de datos
- SQL
- Almacén

Quiero recibir la alerta de empleo más reciente para data engineer en cuauhtémoc, dif

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People Data & Insights Engineer

Takeda Pharmaceutical -
Cuajimalpa, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

ATS
Inglés
SQL
Licenciatura
Recursos humanos
Python

Descripción completa del empleo

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

We are seeking a People Data & Insights Engineer to build and scale the data foundation that powers People Analytics at Takeda. This role sits at the intersection of data engineering and workforce insights, focusing on transforming complex HR and employee experience data into structured and reliable data assets.

This position is embedded within Takeda’s People Analytics and Capabilities team and requires deep engagement with HR use cases such as talent metrics, employee listening, and workforce planning, ensuring data is not only technically sound, but analytically meaningful.

How you will contribute

Design and maintain robust pipelines that integrate HR systems (HRIS, ATS, survey/listening platforms, etc.) into curated, reusable datasets. Build data models that support consistent reporting, longitudinal analysis (e.g., workforce changes over time), and deeper insights into employee experience.
Partner closely with People Analysts and HR stakeholders to understand evolving business questions and embed them into well-designed data models and pipelines.
Implement validation checks, reconciliation logic, and monitoring processes to ensure the integrity of people data across sources and time.
Build and maintain datasets that power consistent reporting across core People Analytics domains (e.g., hiring, retention, mobility, skills, engagement).
Create clear documentation and reusable frameworks to improve how people data is modeled, accessed, and reused across the function.
Apply AI-assisted approaches (e.g., code generation, data exploration, documentation, and troubleshooting) to accelerate development, improve code quality, and streamline pipeline and data model creation.

Skills and qualifications

Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Economics, Analytics) or equivalent experience
~3–6 years of experience in analytics, data engineering, or people analytics
Advanced SQL and experience working with large, complex datasets
Proficiency in Python (or similar) for data processing and automation
Experience with cloud data platforms (e.g., Databricks, Snowflake)
Strong experience designing analytical data models (e.g., dimensional modeling, time-series structures)
Proficiency communicating in English language is mandatory
Experience working with HR data (HRIS, recruiting, survey/listening platforms) or other complex behavioral datasets
Ability to translate ambiguous business questions into structured data solutions
Strong attention to detail and commitment to data quality

Locations

MEX - Santa Fe

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

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