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

People Data & Insights Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Inglés
- SQL
- Licenciatura
Senior Data Engineer
DiDi Global —Cuauhtémoc, CDMX
- Administración de personal
- Informática
- Inglés
Senior Data & AI Integration Engineer
entropia AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- SQL
- Python
Postulación rápida
Data Engineer GCP
Amaris Consulting —Ciudad de México, CDMX
- Inglés
- Java
- SQL
GCP Data Engineer S.Sr
Ucloud —Ciudad de México, CDMX
- SQL
- Python
Postulación rápida
Data Engineer GCP (Por proyecto)
Axity Getronics —Actipan, CDMX
- $42,000 a $45,000 por mes
- Azure
- Ingeniería
- Java
Postulación rápida
BANAMEX - Data Engineer - Officer
Citi —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Word
- Microsoft Excel
- SQL
3d
Data engineer
EON —Benito Juárez, CDMX
- $45,000 a $48,000 por mes
- Tiempo completo
- Trabajo híbrido
- DevOps
- Ingeniería
- Java
Postulación rápida
Data Engineer Sr
IDS Comercial, S.A. de C.V. —Benito Juárez, CDMX
- $70,000 a $72,000 por mes
- Tiempo completo
- Oracle
- Informática
- Licenciatura
- Seguro de vida
Postulación rápida
Data Engineer
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- SQL
Support Engineer
NielsenIQ —Ciudad de México, CDMX
- $34,583 por mes
- Tiempo completo
- Trabajo híbrido
- Informática
- Maestría
- SQL
Postulación rápida
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- SQL
BI/Data Engineer – L2 Support Engineer (KELLANOVA)
Inetum Mexico —Ciudad de México, CDMX
- $55,000 a $75,000 por mes
- Tiempo completo
Postulación rápida
Data/Scraping Engineer
Belvo —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
- Horarios flexibles
5d
Senior Analytics Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- SQL
- Python
9d
Data Engineer 1
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
SSIS Data Engineer - Associate - Operate
PwC —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Licenciatura
4d
Senior AI Data Engineer
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Data Wrangler
BYkon Consulting —Del Valle Centro, CDMX
- $35,000 a $40,000 por mes
- Tiempo completo
- Trabajo híbrido
- Informática
- Ingeniería
- Inglés
Postulación rápida
5d
0147 - Data Engineer Sr
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- DevOps
- Java
- SQL
Postulación rápida

Quiero recibir la alerta de empleo más reciente para data engineer en progreso nacional, 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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