Data Engineer

Avance Consulting; Almería; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

Avance Consulting is seeking a Data & AI Engineer with strong Google Cloud Platform experience to build robust data pipelines, manage ingestion and tokenization, and apply AI techniques to solve business challenges.

The role blends traditional data engineering with generative AI, deploying LLMs and agentic workflows in production, and requires collaboration with cross-functional teams to deliver reliable data solutions.

Formación

• Experience designing data pipelines and data ingestion architectures.
• Experience tokenizing sensitive data for security and compliance.
• Hands-on AI/ML experience with LLMs, prompt engineering, and production deployments.

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 and design agentic workflows.
• Apply prompt engineering techniques to improve model performance.

Conocimientos

Python

Data Pipelines

Data Ingestion

Data Tokenization

LLMs

Prompt Engineering

Agentic Workflows

Herramientas

GCP

BigQuery

Looker

Apache Airflow

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.