Data & Ai Engineer

Infoplus Technologies Uk Limited; Lugo; Presencial; EUR 52.000 - 80.000; Jornada completa

Descripción de la vacante

Infoplus Technologies Uk Limited is seeking a Data & AI Engineer with strong GCP expertise to design, build, and optimize scalable data pipelines, data ingestion and tokenization to support cutting-edge AI initiatives.

You will bridge traditional data engineering with generative AI, implement Airflow workflows, integrate LLMs in production, and collaborate with cross-functional teams to deliver secure, reliable data solutions in a fast-paced environment.

Formación

• Experience with GCP and BigQuery in production data platforms.
• Strong Python programming experience for data engineering and ML tasks.
• Hands-on dev experience with Apache Airflow and data ingestion/tokenization.
• GCP certification mandatory.

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

GCP expertise

BigQuery

Data ingestion

Data tokenization

Python programming

Airflow

LLMs

Prompt engineering

Agentic workflows

AI model deployment

Herramientas

Apache Airflow

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.
• GCP Certification is Mandatory
• 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.