Data & AI Engineer: GCP, LLMs & Production Pipelines

Primus Global Solutions (Primus Uk & Europe); Pontevedra; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

Primus Global Solutions is seeking a Data & AI Engineer with extensive GCP experience to build robust data pipelines, manage ingestion and tokenization, and drive AI initiatives. The role bridges traditional data engineering with cutting-edge generative AI and requires strong Python, Airflow, and LLM deployment skills.

The ideal candidate will design scalable pipelines, implement tokenization, and optimize AI workflows, collaborating across teams to deliver secure and high-quality data solutions

Formación

• Strong expertise in Google Cloud Platform (GCP).
• Proficiency in BigQuery and general Data Engineering practices.
• Experience with Data Ingestion and Data Tokenization.
• Strong programming skills in Python.
• Hands-on experience with Apache Airflow.
• Experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production.

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

GCP

BigQuery

Data Ingestion

Data Tokenization

Python

Apache Airflow

LLMs

Prompt Engineering

Agentic Workflows

Herramientas

Looker

Descripción del empleo

Primus Global Solutions is seeking a Data & AI Engineer with extensive GCP experience to build robust data pipelines, manage ingestion and tokenization, and drive AI initiatives. The role bridges traditional data engineering with cutting-edge generative AI and requires strong Python, Airflow, and LLM deployment skills.

The ideal candidate will design scalable pipelines, implement tokenization, and optimize AI workflows, collaborating across teams to deliver secure and high-quality data solutions