Data & Ai Engineer

Primus Global Solutions (Primus Uk & Europe); Asturias; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

Primus Global Solutions (Primus UK & Europe) is seeking a Data & AI Engineer with strong GCP experience to design and deploy robust data pipelines and AI-powered solutions. The role focuses on data ingestion, tokenization, and integrating LLMs into production environments, bridging traditional data engineering with generative AI.

The ideal candidate will have hands-on Python, Airflow, and experience deploying AI models, with Looker knowledge considered a plus.

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.
• AI/ML Expertise: Experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production.
• Looker is highly preferred but not 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

GCP

BigQuery

Data Ingestion

Data Tokenization

Python

Apache Airflow

LLMs

Prompt engineering

Agentic workflows

AI production deployment

Looker

Herramientas

Looker

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.