?
We’re building our Data Engineering talent team at Intugo

We’re looking to connect with
Data Engineers at different levels of experience
, from professionals who are already building and maintaining modern data pipelines to senior engineers ready to take greater ownership of architecture, technical standards and mentoring.

If you enjoy working with data platforms, cloud technologies and solving real-world data challenges, we’d love to hear from you.

About the role

As part of a growing technology team, you’ll contribute to the development and evolution of modern data capabilities that support analytics, Machine Learning and AI initiatives.

Depending on your experience and seniority, your responsibilities may include:
- Building and maintaining reliable
ETL/ELT data pipelines
.
- Transforming raw data into clean, structured and usable datasets.
- Working with cloud data platforms such as
BigQuery
or equivalent technologies.
- Developing solutions using
Python, SQL, dbt and Airflow / Cloud Composer
.
- Implementing data quality checks, monitoring and pipeline observability.




- Supporting batch and real-time data processing.
- Collaborating with Data Scientists, Business Analysts, Software Engineers and other technology teams.
- Contributing to data governance, documentation and security practices.

For more senior profiles, the scope may also include
data architecture, technical decision-making, MLOps / feature stores, cloud cost optimization, code review and mentoring other Data Engineers
.

Requirements

We’re open to different levels of experience, so the depth expected in each area will depend on your background.

We’re especially interested in candidates with experience in some of the following:
- Data Engineering and
ETL/ELT pipelines
in production environments.
- Strong
SQL
skills.
- Python
for data processing and automation.
- Cloud data platforms — ideally
GCP
, although experience with AWS or Azure is also valuable.
- BigQuery, Snowflake, Redshift, Data

📌 AI / Data Engineer (México)
🏢 Intugo México
📍 México