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

Data Engineer - QuantumBlack Studio
McKinsey & Company —City, Hgo.
- Azure
- Informática
- DevOps
1d
Data & Reporting Application Engineer
DXC Technology —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
7h
Engineering & Quality - Software Engineer
Fitch Group —Monterrey, N. L.
- Azure
- Python
- Permiso de maternidad y paternidad
Software Development Specialist
NTT Ltd —Ciudad de México, CDMX
- 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
Analytics Data Engineer I - Monterrey
John Deere —San Pedro Garza García, N. L.
- SQL
- Python
23h

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Data & Reporting Application Engineer
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Typically 5+ years of experience in software development, data engineering, reporting, or application support roles. Loading Power BI data into SQL databases.
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Data Engineer - QuantumBlack Studio

McKinsey & Company -
City, Hgo.

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Información del empleo

Aprendiz
Hace 1 día

Cualificaciones

Azure
Informática
Plurilingüe
DevOps
Spark
Git
Inglés
Google Cloud Platform
SQL
Pandas
Desarrollo de software
Python

Descripción completa del empleo

Job ID: 109883

Mexico City

Monterrey

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.

You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You’ll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.

You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you’ll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities.

Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack Studio and QuantumBlack Labs teams, you’ll help develop innovative AI capabilities and scalable enterprise solutions. You’ll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firm’s ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.

You’ll be based in one of our Mexico office, Mexico City or Monterrey, as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients from data owners to C-level executives you’ll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.

You will have a unique opportunity to grow at the forefront of AI, data engineering, and emerging agentic technologies. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you’ll gain a holistic understanding of how data engineering enables advanced AI while collaborating with some leading AI and data experts in the industry.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Degree in Computer Science/Engineering, or equivalent experience

2+ years’ experience in a data-focused role (internships, academic projects)

Ability to write clean, well-documented code in a modern programming language, with a strong preference for Python and SQL

Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of data formats (structured vs unstructured) and processing methods (streaming vs batch)

Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.)

Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/CD principles

Exceptional time management in a complex and largely autonomous work environment

Willingness to learn quickly and adapt to different project situations and tech stacks

Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus

Strong communication skills, both verbal and written, in English and Spanish

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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data engineer (databricks) empleos

Data Engineer - QuantumBlack Studio

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Software Development Specialist

JR-183528 SAP BW Consultant Lead

Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote

SAP Analytics Engineer (Datasphere)

Azure - Data Engineer

Senior Data Engineer

Senior Data Engineer Bilingual

Big Data Developer

Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO

Analytics Data Engineer I - Monterrey

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