We are leaders in digital technology services and deliver large-scale technology solutions for major companies.
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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
Collaborate with technical and business teams on data and AI solutions
Advanced Python and SQL
Experience with ETL/ELT and data modeling
Experience working with medium/large-scale data
Experience with LLM APIs and GenAI projects
Data Lake / Warehouse / Lakehouse architectures
Orchestration and cloud environments
Experience with RAG, embeddings, and vector databases
Knowledge of data security and governance xsgfvud
Benefits (health insurance,
remote work, life and accident insurance)
~ Flexible compensation program (meals, childcare, transport, online English, etc.)
~ Free access to training platforms
~ Work-life balance measures (flexibility,
remote work, summer intensive schedule…)
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Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.