At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D; and engineering services across all industries.
Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your role We are seeking a highly motivated Data & Cloud Engineer to support the development of an innovative modernization platform that accelerates the migration of legacy SAS workloads to Python and Google Cloud Platform (GCP) using AI Agents and Generative AI technologies.
This role combines responsibilities from both Data Engineering and Cloud Engineering, focusing on designing cloud-native architectures, enabling AI-driven code transformation, and implementing modern data platforms on GCP. The engineer will work closely with AI Engineers, Data Architects, and Business SMEs to build a proof of concept (POC) and demonstration platform capable of automatically converting SAS assets into Python, BigQuery, Looker, and other modern GCP services.
Analyze existing SAS programs, macros, ETL jobs, data flows, and business rules.
Support the design and implementation of automated migration frameworks for: SAS Base
SAS Macros
PROC SQL
Data Steps
SAS ETL Workflows

Validate migration outputs generated by AI agents.
Identify conversion dependencies and remediation actions.
Assist in code quality reviews and migration testing.
Design and deploy cloud-native architectures within GCP.
Configure and manage: BigQuery
Cloud Storage
Cloud Composer (Airflow)
Dataflow
Vertex AI
Cloud Functions
Cloud Run
IAM and Security Controls





Build CI/CD pipelines using: GitHub Actions
Cloud Build
Terraform

Implement infrastructure-as-code and automation practices.
Design scalable data pipelines using Python and GCP services.
Develop ETL/ELT processes to migrate datasets from SAS environments into BigQuery.
Optimize data models and query performance.
Build metadata and lineage tracking mechanisms.
Implement data quality validation frameworks.
Support testing and reconciliation between SAS and Python outputs.
Collaborate with AI Engineers developing autonomous agents capable of: SAS code analysis
Business rule extraction
Python code generation
BigQuery SQL conversion
Looker model creation
Documentation generation

Define prompts, templates, and reference architectures for AI-assisted conversion.
Evaluate AI-generated outputs and implement quality guardrails.
Create feedback loops to continuously improve conversion accuracy.
Convert SAS reporting logic into: BigQuery SQL
Python Processing Modules
LookML Models
Looker Dashboards

Support dashboard modernization efforts.
Validate reporting consistency between legacy and target environments.
Your profile 5+ years in Data Engineering and/or Cloud Engineering.
Python (Advanced)
SQL (Advanced)
Shell Scripting / Bash
PySpark (Preferred)
Strong experience in: BigQuery
Cloud Storage
Vertex AI
Cloud Composer
Dataflow
Cloud Functions
Cloud Run
IAM
Monitoring and Logging

ETL / ELT Development




Data Warehousing
Data Modeling
Data Validation
Data Quality Frameworks
Knowledge of:### Required Experience
Vertex AI
Agentic AI Architectures
LLM-based Code Generation
Prompt Engineering
RAG Architectures
AI Quality Evaluation Frameworks
Experience with Google Cloud Platform.
Experience developing Python-based data solutions.
Experience with large-scale data migration projects.
Familiarity with legacy analytics platforms such as SAS, Informatica, Teradata, or similar.
Experience working in Agile delivery environments.
What You´ll Love Work on meaningful projects that use technology to solve real-world challenges.
Exposure to top integral companies working with Capgemini (145 of the Fortune 500 companies).
Thrive in a diverse, respectful, and inclusive environment.
About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

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📌 Data & Cloud Engineer (Centro-Norte)
🏢 Capgemini Engineering
📍 Centro-Norte