Data Engineer (AI Grounding Focus) - MX

Globant; Mexico; Remote; MXN 600,000 - 1,000,000; Full time

Job summary

Globant is seeking a mid-level Data Engineer focused on AI grounding and RAG within Google Cloud. You will build and maintain scalable data pipelines, ensure data quality, and collaborate with stakeholders to implement retrieval-augmented generation solutions using Vertex AI/LangChain.

The role emphasizes hands-on data engineering, Python and SQL expertise, and experience with vector databases and data governance in a remote setup spanning Mexico.

Qualifications

• 3 to 5 years of experience in Data Engineering and pipeline development.
• Extensive experience designing and maintaining automated ETL/ELT data pipelines for both structured and unstructured enterprise data (knowledge bases, FAQs, manuals, ticketing logs).
• Strong expertise within Google Cloud Platform (GCP), especially BigQuery and Cloud Storage.
• Proven hands-on experience with pipeline orchestration tools such as Dataflow (Apache Beam) or Cloud Composer (Apache Airflow).
• Advanced proficiency in Python and complex SQL for large-scale data manipulation and extraction.
• Practical experience with data chunking, tokenization, and embedding strategies to support enterprise knowledge retrieval.
• Experience implementing and maintaining vector search solutions, particularly Vertex AI Vector Search.
• Solid understanding of Retrieval-Augmented Generation (RAG) architectures and frameworks (such as LangChain) integrated with Gemini Enterprise models.
• Experience collaborating directly with client data owners to establish data quality, freshness cycles, governance, and strict privacy boundaries.

Skills

Python

SQL

Data Engineering

ETL/ELT pipelines

GCP

BigQuery

Vertex AI Vector Search

RAG

LangChain

Data governance

Tools

BigQuery

Cloud Storage

Dataflow

Cloud Composer

LangChain

Vertex AI Vector Search

Job description

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.
We seek a Data Engineer – AI Grounding & RAG, Google Cloud Platform (GCP), BigQuery, Vector Databases, Python, Mid-Level who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era, building robust data ingestion pipelines for Gemini Enterprise for Customer Experience (GECX).
What will help you succeed:

• 3 to 5 years of experience in Data Engineering and pipeline development.
• Extensive experience designing and maintaining automated ETL/ELT data pipelines for both structured and unstructured enterprise data (knowledge bases, FAQs, manuals, ticketing logs).
• Strong expertise within Google Cloud Platform (GCP), especially BigQuery and Cloud Storage.
• Proven hands-on experience with pipeline orchestration tools such as Dataflow (Apache Beam) or Cloud Composer (Apache Airflow).
• Advanced proficiency in Python and complex SQL for large-scale data manipulation and extraction.
• Practical experience with data chunking, tokenization, and embedding strategies to support enterprise knowledge retrieval.
• Experience implementing and maintaining vector search solutions, particularly Vertex AI Vector Search.
• Solid understanding of Retrieval-Augmented Generation (RAG) architectures and frameworks (such as LangChain) integrated with Gemini Enterprise models.
• Experience collaborating directly with client data owners to establish data quality, freshness cycles, governance, and strict privacy boundaries.
  

This job can be filled in Mexico LI-Remote
Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.
We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide.