Data & Ai Engineer

Primus Global Solutions (Primus Uk & Europe); Chantada; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Primus Global Solutions is seeking a Data & AI Engineer with extensive GCP experience to design robust data pipelines, manage ingestion and tokenization, and apply cutting-edge AI methods to business challenges.

You will bridge traditional data engineering and generative AI, build scalable workflows with Airflow, integrate LLMs, and collaborate with cross-functional teams to deliver secure, production-ready data solutions.

Formación

• Experience with Google Cloud Platform (GCP) and BigQuery.
• Strong Python programming and hands-on Airflow.
• Experience with data ingestion, tokenization, and production AI deployments (LLMs).
• Ability to design and optimize AI-enabled data pipelines.
• Looker familiarity is a plus.

Responsabilidades

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

Conocimientos

LLMs

Prompt engineering

Agentic workflows

AI deployment

Herramientas

GCP

BigQuery

Python

Apache Airflow

Looker

Descripción del empleo

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