We are looking for the best talent… and we would love for you to join our team
UST is a multinational company headquartered in North America, certified as a Top Employer, with more than 35,000 employees worldwide and a presence in over 30 countries. We are leaders in digital technology services and deliver large-scale technology solutions for major companies.
What are we looking for?
We are looking for a Data Ops Engineer – AI Enablement to work in advanced data environments and generative AI.
This role combines Data/Analytics Engineering (60%) with AI Enablement/GenAI (40%) , preparing high-quality data and applying LLMs to build analytical solutions and intelligent automation.

Develop ETL/ELT processes using Python and SQL
Integrate data from multiple sources, ensuring quality, consistency, and traceability
Model data and build analytical datasets and AI pipelines
Implement data cleaning, validation, and quality control
Integrate LLM APIs and design GenAI solutions (RAG, prompting, embeddings, semantic search)
Use GenAI tools to accelerate development and documentation




Document processes, models, prompts, and technical decisions
Collaborate with technical and business teams on data and AI solutions
Key Requirements

Advanced Python and SQL
Experience with ETL/ELT and data modeling
Experience working with medium/large-scale data
Knowledge of Git
Experience with LLM APIs and GenAI projects
Knowledge of prompting and output evaluation
Nice to have

Data Lake / Warehouse / Lakehouse architectures
Orchestration and cloud environments
Experience with RAG, embeddings, and vector databases
Knowledge of data security and governance
What do we offer?

~23 vacation days + December 24th and 31st
~ Benefits (health insurance, remote work, life and accident insurance)
~ Free access to training platforms
~ Professional stability and career plan
~ Referral program with incentives
~ Option of 12 or 14 annual salary payments
~ Work-life balance measures (flexibility, remote work,

📌 Data Engineer (España)
🏢 UST España & Latam
📍 España