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

Oliver Wyman - Advanced Analytics Engineer - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Azure
- SQL
- Python
Data Engineer Sr
Accenture —Mérida, Yuc.
- Tiempo completo
- Azure
- Inglés
- Python
Sr Advanced AI Data Engineer
Honeywell —Monterrey, N. L.
- Tiempo completo
- Microsoft Excel
- Azure
- DevOps
la26.042 - Data Engineering Lead
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Engineering & Quality - Software Engineer
Fitch Group —Monterrey, N. L.
- Azure
- Python
- Permiso de maternidad y paternidad
Supply Chain Business Intelligence Engineer
Ford de México —Naucalpan, Méx.
- Tiempo completo
- Azure
- Informática
- Análisis de datos
6d
Supply Chain Business Intelligence Engineer
Ford Motor Company —Naucalpan, Méx.
- Azure
- Informática
- Análisis de datos
6d
Software Development Specialist
NTT Ltd —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
10d
JR-183528 SAP BW Consultant Lead
Customertimes —Ciudad de México, CDMX
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
SAP Analytics Engineer (Datasphere)
Capgemini —México
- $1 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Azure - Data Engineer
Citi Value in Real Time —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
Senior Data Engineer
SunnyData —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Senior Data Engineer Bilingual
NORTHWARE SA DE CV —México
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Inglés
- Seguro de vida
Postulación rápida
Big Data Developer
Grid Dynamics —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Seguro de la vista
- Seguro de vida
Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO
Scalepex —México
- Home Office (Desde casa)
- Administración de personal
- Java
- Experiencia en bases de datos
Postulación rápida

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Oliver Wyman - Advanced Analytics Engineer - Mexico City

Oliver Wyman -
City, Hgo.

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Información del empleo

Tiempo completo

Cualificaciones

Azure
Google Cloud Platform
SQL
Python

Descripción completa del empleo

Company:

Oliver Wyman

Description:

About Oliver Wyman

Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

For more information, visit oliverwyman.com , or follow us on LinkedIn and X .

Job Overview:

We are seeking an experienced Advanced Analytics Engineer to design and build scalable data solutions that support advanced analytics, machine learning, and AI initiatives. This role focuses on developing data pipelines and workflows for structured and unstructured data using Databricks, Python, and PySpark. The ideal candidate is passionate about modern data platforms, distributed computing, API integrations, and enabling data-driven innovation across the organization.

Key Responsibilities:

Design, develop, and optimize scalable data pipelines using PySpark and Databricks
Build workflows to ingest, process, and transform structured and unstructured data
Develop data models and reusable datasets for analytics and AI use cases
Integrate external systems and enterprise platforms through APIs and modern data interfaces
Collaborate with AI engineers and platform teams to support MCP (Model Context Protocol) integrations and AI-driven workflows
Collaborate with data scientists, AI engineers, and business stakeholders to support advanced analytics initiatives
Implement data quality, governance, monitoring, and observability best practices
Optimize performance and scalability of distributed data processing environments
Support batch and real-time data processing architectures
Contribute to CI/CD pipelines and DataOps best practices
Document technical solutions, workflows, and operational procedures

Experience Required:

2+ years of experience in Data Engineering , Analytics Engineering, or related roles
Strong hands-on experience with Python , PySpark, Databricks, and SQL
Experience designing and developing scalable ETL/ELT pipelines and distributed data processing solutions
Experience working with structured, semi-structured, and unstructured data
Experience building and integrating APIs and enterprise data services
Experience supporting advanced analytics, AI, or machine learning initiatives
Strong understanding of modern lakehouse and cloud-based data architectures
Experience with workflow orchestration, automation, and CI/CD pipelines
Familiarity with cloud platforms such as AWS, Azure, or GCP
Experience with streaming and real-time processing technologies is a plus
Knowledge of MCP integrations and AI-driven workflow architectures is a plus

Skills and Attributes:

Excellent problem-solving and analytical thinking skills with ability to solve complex data challenges
Strong ability to design scalable and efficient data solutions in fast-paced environments
Self-starter with strong ownership mindset and ability to work independently with minimal supervision
Strong curiosity and desire to learn emerging technologies and modern data/AI practices
Ability to interpret data trends and generate actionable insights for technical and business stakeholders
Strong collaboration skills with ability to work effectively across engineering, analytics, AI, and business teams
Effective communication skills with ability to explain technical concepts to non-technical audiences
Strong attention to detail with focus on data quality, reliability, and operational excellence
Ability to manage multiple priorities and adapt quickly to changing business needs
Strong relationship-building skills and ability to influence stakeholders across the organization
Passion for innovation, automation, and continuous improvement
Ability to thrive in highly dynamic and evolving technology environments

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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