20 publicaciones de empleo destacadas en engineer (databricks) (¡Están contratando!)

People Data & Insights Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Inglés
- SQL
- Licenciatura
Lead Data Software Engineer (Python, AWS, Databricks)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Python
- Plan de adquisición de acciones empresariales
Senior Backend Engineer — ClarOps (Ingeniero Backend Senior de ClarOps) - Remote
Clara —Desde casa
- Inglés
- Java
- SQL
Data Engineer Senior
R&R It Consulting Negocios Integrales —Naucalpan, Méx.
- Tiempo completo
- Azure
- DevOps
- Ingeniería
Postulación rápida
8d
Sr Data Engineer (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
12d
Engineering & Quality - Software Engineer
Fitch Group —Monterrey, N. L.
- Azure
- Python
- Permiso de maternidad y paternidad
EY GDS Mexico - Senior AI Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Informática
- Maestría
Principal Software Engineer, Applied AI Services
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- Disponible para viajar
Senior Software Engineer (Python + Distributed systems)
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- CAD
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Data Engineer
Harman International —Querétaro, Qro.
- Azure
- Informática
- Inglés
- Descuento de empleados
Engineering and Quality - Senior Platform Engineer
Fitch Group —Monterrey, N. L.
- Azure
- Administración de personal
- DevOps
- Permiso de maternidad y paternidad
Ingeniero de Datos
PROGRAMMING.COM —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Disponible para viajar
Postulación rápida
5d
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $55,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
1d
Data Engineering Academy (Snowflake - Databrick) 2748 -
Xideral —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- SQL
- Licenciatura
Postulación rápida
Success Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Inglés
- Java
- Permiso de maternidad y paternidad
Staff Backend Engineer
Drip —Desde casa
- Home Office (Desde casa)
- Preparación de alimentos
- Experiencia en bases de datos
- JavaScript
ABL - Ingeniero de Datos / Data Engineer
Capgemini —City, Hgo.
- Azure
- Diagramas
- DevOps
Senior Data Engineer (Integration & Azure) - Híbrido - CDMX
Orion Innovation —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Postulación rápida
Consultor/a de datos en Azure
SDG Group —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Postulación rápida

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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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