Data & Ai Engineer

Primus Global Solutions (Primus Uk & Europe); Gijón; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

Primus Global Solutions (Primus Uk & Europe) is seeking a Data & AI Engineer with extensive GCP experience to build robust data pipelines, manage ingestion and tokenization, and leverage AI technologies for business solutions.

The role bridges traditional data engineering and generative AI, requiring hands-on Python, Airflow, and deployment of AI models into production. Collaboration with cross-functional teams will be essential for delivering high-quality data solutions.

Formación

• Experience with GCP and BigQuery in production data environments.
• Experience implementing data ingestion pipelines and data tokenization.
• Strong Python programming and production AI deployment capabilities.

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

Data engineering

GCP expertise

Herramientas

Google Cloud Platform (GCP)

BigQuery

Apache Airflow

Looker

Data Ingestion

Data Tokenization

LLMs / Generative AI

Descripción del empleo

Role Overview

We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. In this role, you will be responsible for building robust data pipelines, managing data ingestion and tokenization, and leveraging cutting-edge AI technologies to drive business solutions. The ideal candidate will bridge the gap between traditional data engineering and advanced generative AI implementation.

Key Responsibilities

• 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.

Qualifications

• Technical Skills: 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.
• AI/ML Expertise: Proven experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production.

Preferred Skills

Experience with Looker is highly preferred but not mandatory