Senior GCP Data Engineer

UST; Región Centro; On-site; MXN 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Health insurance

Paid holidays

Christmas bonus

Meal vouchers

Job summary

UST is seeking a Senior GCP Data Engineer to design, build, and operate production ETL/ELT pipelines on Google Cloud. You’ll craft Python services, manage Docker/Kubernetes deployments, and deploy GenAI workloads with governance.

You will work across teams, optimize SQL on BigQuery, and contribute to CI/CD and IaC practices while shaping scalable data infrastructure.

Qualifications

• Bachelor’s degree in computer science, engineering, or a related field.
• 6+ years of experience in cloud, data, or platform engineering.
• Hands-on production experience with GCP data services, including BigQuery, Cloud Composer (Airflow), Dataproc, and Cloud Storage.
• Production-ready GenAI deployment experience with governance patterns.
• Strong Python skills for data processing, orchestration, and backend services.
• Strong SQL, especially on BigQuery or similar cloud warehouses.
• Hands-on experience with Docker and Kubernetes (GKE), and production ETL/ELT pipeline design and operation.
• Strong communication and cross-team collaboration skills.
• Secondary skills: Vertex AI, CI/CD with GitHub Actions or Jenkins, infrastructure as code, and backend API development.
• Preferred: Spark or Beam, Dataflow, Cloud SQL/PostgreSQL analytical tuning
• Preferred: healthcare/insurance or regulated data experience; observability and cost/perf resiliency optimization

Responsibilities

• Design, build, and operate production ETL/ELT pipelines on Google Cloud using BigQuery, Cloud Composer, Dataproc, and Cloud Storage.
• Develop Python services for data processing, orchestration, and backend APIs, containerized with Docker and deployed on Kubernetes (GKE).
• Write and optimize SQL on BigQuery and other cloud warehouses.
• Take GenAI and ML workloads into production on Vertex AI with governance.
• Build CI/CD workflows with GitHub Actions or Jenkins, including automated testing and environment promotion.
• Manage infrastructure as code and respond to production incidents.
• Explain technical trade-offs to non-technical stakeholders and collaborate across teams.

Skills

Python

SQL

GCP

Cloud Data

Education

Bachelors in CS/Engineering or related

Tools

BigQuery

Cloud Composer (Airflow)

Dataproc

Cloud Storage

Docker

Kubernetes (GKE)

Vertex AI

Job description

Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

Role Description

Who We Are: Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.

Visit us at UST.com.

You Are

UST is looking for a Senior GCP Data Engineer to build and run production data pipelines, backend APIs, and cloud-native services on Google Cloud, with a focus on BigQuery, Airflow, Kubernetes, and Vertex AI. Must be comfortable taking GenAI and ML workloads into production with proper governance, and able to explain technical trade-offs to non-technical stakeholders.

The Opportunity

• Design, build, and operate production ETL/ELT pipelines on Google Cloud using BigQuery, Cloud Composer (Airflow), Dataproc, and Cloud Storage
• Develop Python services for data processing, orchestration, and backend APIs, containerized with Docker and deployed on Kubernetes (GKE)
• Write and optimize strong SQL on BigQuery and other cloud warehouses
• Take GenAI and ML workloads into production on Vertex AI, including pipelines, model deployment, and batch and online inference, with proper governance
• Build CI/CD workflows with GitHub Actions or Jenkins, including automated testing and environment promotion
• Manage infrastructure as code and respond to production incidents
• Explain technical trade-offs to non-technical stakeholders and collaborate across teams

What You Need

• Bachelor’s degree in computer science, engineering, or a related field
• 6+ years of experience in cloud, data, or platform engineering
• Hands-on production experience with GCP data services, including BigQuery, Cloud Composer (Airflow), Dataproc, and Cloud Storage
• Production-ready GenAI deployment experience with governance patterns
• Strong Python skills for data processing, orchestration, and backend services
• Strong SQL, especially on BigQuery or similar cloud warehouses
• Hands-on experience with Docker and Kubernetes (GKE), and production ETL/ELT pipeline design and operation
• Strong communication and cross-team collaboration skills
• Secondary skills: Vertex AI (pipelines, model deployment, batch and online inference), CI/CD with GitHub Actions or Jenkins, infrastructure as code, and backend API development
• Preferred: MLOps (model serving, monitoring, retraining), Spark or Beam (Dataproc, Dataflow), and Cloud SQL/PostgreSQL analytical performance tuning
• Preferred: healthcare, insurance, or other regulated data experience; observability and operational playbooks; cloud cost, performance, and resiliency optimization; advanced degree in a related field

Benefits

Employees receive mandatory and non-mandatory benefits such as fourteen (14) days of vacation beginning on the date of hire, vacation premium, ten (10) paid holidays, a Christmas Bonus of thirty (30) days’ pay, Monthly Food Vouchers, Saving Fund, and health insurance. Certain employees may be eligible for additional Company benefits beginning on the date of hire, including dental, disability and life insurance plans; four (4) days of personal time off per year, up to three (3) days of paid medical leave per year, and up to three (3) days of paid bereavement leave per year.

What We Believe

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.

Humility

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity

Through business, we will better the lives of those less fortunate than ourselves.

Integrity

We honor our commitments and act with responsibility in all our relationships.

An Equal Opportunity Workplace, Free of Discrimination and Harassment

At UST, we strive to provide a work environment free of discrimination and harassment. We are an equal opportunity employer and employment decisions are based on merit and business needs. Our Human Rights Policy further illustrates our stand on this. We are committed to following fair employment practices that provide equal opportunities to all employees. We do not discriminate or allow harassment on the basis of race, color, religion, disability, gender, national origin, sexual orientation, gender identity, gender expression, age, genetic information, military status, or any other legally protected status. At UST, we value diversity and believe that a diverse workplace builds a competitive advantage.

Un lugar de trabajo con igualdad de oportunidades y libre de discriminación y acoso

En UST, nos esforzamos por proporcionar un ambiente de trabajo libre de discriminación y acoso. Somos un empleador que ofrece igualdad de oportunidades y basa las decisiones de empleo en los méritos y las necesidades del negocio. Estamos comprometidos a seguir prácticas de empleo justas que brinden igualdad de oportunidades a todos los empleados. No discriminamos ni permitimos el acoso por motivos de raza, color, religión, discapacidad, género, origen nacional, orientación sexual, identidad de género, expresión de género, edad, información genética, estado militar o cualquier otro estado legalmente protegido. En UST, valoramos la diversidad y creemos que un lugar de trabajo diverso construye una ventaja competitiva.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

#UST

Skills

Apache Airflow, Apache Beam, Apache Spark, BigQuery, CI/CD, Cloud SQL, Cloud-Native Development