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 for a leading insurance company, you will play a key role in building a data-driven decision-making culture. You will design resilient and secure solutions that transform raw data into strategic insights for underwriting,



risk management, fraud prevention, and customer experience.
- Design, build, and maintain scalable and secure data pipelines in cloud environments (AWS, GCP, or Azure).
- Integrate large volumes of structured and unstructured data from core insurance systems (such as policies, claims, CRM, ERP).
- Automate data ingestion, transformation, and quality processes using tools such as Apache Spark, dbt, Kafka, and Airflow.
- Build and maintain modern data lakes and warehouses (Snowflake, BigQuery, Redshift).
- Implement data quality, lineage, and governance validations (Great Expectations, Deequ, OpenMetadata).
- Ensure compliance with data regulations (GDPR, SOC2, etc.) and internal security policies.
- Design optimized datasets to enable machine learning models, predictive analytics, and dashboards (Power BI, Looker, Tableau).
- Collaborate with data scientists, architects, and business stakeholders to democr

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