9 publicaciones de empleo destacadas de communications assistant en ciudad de méxico (¡Están contratando!)

AI Native Data Engineer
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
9d
IT System Engineer
BSA-JLL - LaSalle Partners, MEX —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Mantenimiento
- Liderazgo
Postulación rápida
Software Engineer | AI Focus
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Salesforce
Embedded Security Manager - México City
Control Risks —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Mantenimiento
- Inglés
Postulación rápida
AI Native Data Architect
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java
Postulación rápida
9d
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Senior Software Engineer
Alcor —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Postulación rápida
DevOps Platform Engineer
EarnIn —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- DevOps
- Maestría
Postulación rápida
Construction Administrative Assistant
Hire Overseas —Ciudad de México, CDMX
- Home Office (Desde casa)
- Bilingüe
- Microsoft Word
- Microsoft Excel
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
7h

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AI Native Data Engineer

PALO IT -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 9 días

Cualificaciones

Azure
Cassandra
Bases de datos relacionales
Big data
DevOps
Spark
Microsoft SQL Server
NoSQL
Git
Inglés
Google Cloud Platform
MongoDB
Experiencia en bases de datos
SQL
PostgreSQL
Scala
Seguridad
S3
Apache
Redshift
Habilidades de comunicación
Python
Hadoop

Descripción completa del empleo

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)
We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
We are robust and resilient (100% independent, 0 debt, founded 2009)
We are AI-native professionals who invest in what we believe and work as a collective intelligence
We are positive, courageous and deliver at the leading edge.

Your Role

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that ensure the accessibility, reliability, and quality of data across the organization. You will collaborate closely with data scientists, analysts, and cross-functional teams to transform raw data into actionable insights that drive strategic decisions.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Build and optimize data lakes and data warehouse solutions in cloud environments.
Develop robust data ingestion and transformation processes using Python, SQL, and Scala.
Work with distributed data processing frameworks such as Apache Spark and Hadoop.
Orchestrate and monitor workflows using Apache Airflow.
Ensure data quality, governance, security, and availability across multiple systems.
Collaborate with Data Scientists, Analysts, and Business teams to understand data requirements and deliver high-quality datasets.
Optimize database performance and manage large-scale datasets across SQL and NoSQL technologies.
Implement best practices for version control, CI/CD, testing, and code quality using Git.
Participate in architecture discussions and contribute to technical decision-making.
Support cloud-based data solutions leveraging AWS, GCP, or Azure ecosystems.
Continuously improve platform scalability, performance, and operational excellence through automation and AI-assisted engineering practices.

Who You Are

Must Have

3+ years of experience as a Data Engineer or in similar data-focused roles.
Strong programming skills in Python and SQL.
Experience with big data technologies such as Apache Spark and Hadoop.
Hands-on experience building ETL/ELT pipelines and data integration workflows.
Experience working with relational databases such as SQL Server and PostgreSQL.
Knowledge of NoSQL databases such as MongoDB or Cassandra.
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with Data Warehousing and Data Lake architectures.
Experience with workflow orchestration tools such as Apache Airflow.
Strong understanding of version control and collaborative development using Git.
Strong analytical thinking and problem-solving skills.
Ability to work in agile and collaborative environments.
Advanced English communication skills.

Nice to Have

Experience with Redshift, S3, BigQuery, or Azure Data Factory.
Knowledge of Infrastructure as Code and DevOps practices.
Experience working in AI-first or data-driven product environments.
Exposure to CI/CD pipelines and containerized environments.
Knowledge of data governance and security best practices.

AI-Native Engineering (Core Expectation)

Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:
Code scaffolding and refactoring
Code generation and optimisation
Test-cases and documentation generation
Build applications through AI-driven development practices, including:
AI-assisted debugging and troubleshooting
Intelligent code completion and pattern recognition
Automated documentation generation
Apply prompt engineering best practices for reliable, repeatable engineering outcomes.
Validate GenAI output (determinism checks, guardrails, fallback logic).

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

Stimulating working environments
Unique career path
International mobility
Internal R&D projects (including Gen-e2)
Knowledge sharing
Personalized training via PALO IT Academy
Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

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communications assistant empleos en ciudad de méxico

AI Native Data Engineer

IT System Engineer

Software Engineer | AI Focus

Embedded Security Manager - México City

AI Native Data Architect

Senior AI Engineer

Senior Software Engineer

DevOps Platform Engineer

Construction Administrative Assistant

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Your Role

Responsibilities

Who You Are

Must Have

Nice to Have

AI-Native Engineering (Core Expectation)

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

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Your Role

Responsibilities

Who You Are

Must Have

Nice to Have

AI-Native Engineering (Core Expectation)

More About PALO IT Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.