Who We Are
Building the AI-first frontier enterprise.

We are a general 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

📌 Ai Native Data Engineer (Ciudad de México)
🏢 Palo It
📍 Ciudad de México