AI Data Engineer: Build Pipelines, Tokenization, LLMs

Infoplus Technologies Uk Limited

Málaga

Presencial

EUR 45.000 - 65.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Infoplus Technologies Uk Limited is seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. You will design robust data pipelines, handle data ingestion and tokenization, and leverage cutting-edge AI technologies to drive business solutions.

This role bridges traditional data engineering with generative AI for production-ready workflows. The ideal candidate will demonstrate strong Python skills, hands-on Airflow experience, and a proven track record deploying

Formación

  • GCP expertise is essential.
  • Strong BigQuery and data engineering practices.
  • Experience with data ingestion and data tokenization.
  • Proficiency in Python.
  • Hands-on Apache Airflow experience.
  • GCP certification mandatory.

Responsabilidades

  • Design, build, and maintain scalable data pipelines and ingestion processes.
  • Implement data tokenization strategies to ensure data security and compliance.
  • Develop and optimize workflows using Apache Airflow.
  • Integrate LLMs into production environments, including designing and optimizing agentic workflows.
  • Apply prompt engineering techniques to improve model performance and reliability.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.

Conocimientos

Python programming
LLMs / AI concepts
Prompt engineering
Data engineering practices

Educación

GCP Certification

Herramientas

GCP
BigQuery
Airflow
Looker

Descripción del empleo

Infoplus Technologies Uk Limited is seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. You will design robust data pipelines, handle data ingestion and tokenization, and leverage cutting-edge AI technologies to drive business solutions.

This role bridges traditional data engineering with generative AI for production-ready workflows. The ideal candidate will demonstrate strong Python skills, hands-on Airflow experience, and a proven track record deploying

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