Data Ai Engineer - Avance Consulting

Avance Consulting; País Vasco; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Avance Consulting in Bilbao, Basque Country, Spain is seeking a Data & AI Engineer with extensive GCP experience to design and operate scalable data pipelines and AI deployments.

You will bridge traditional data engineering with cutting-edge generative AI, implement data tokenization for security and compliance, optimize workflows using Apache Airflow, and integrate LLMs into production environments. The role requires collaboration with cross-functional teams to deliver robust data solutions.

Formación

• Experience designing scalable data pipelines and ingestion processes.
• Expertise in data tokenization for security and compliance.
• Hands-on Python development and Apache Airflow administration.

Responsabilidades

• Design, build, and maintain scalable data pipelines.
• Implement data tokenization and security controls.
• Develop and optimize workflows with Apache Airflow.
• Integrate LLMs into production systems.
• Apply prompt engineering to improve model performance.
• Collaborate with cross-functional teams to deliver data solutions.

Conocimientos

GCP

BigQuery

Data Ingestion

Data Tokenization

Python

Apache Airflow

LLMs

Prompt engineering

Agentic workflows

AI model deployment

Herramientas

Airflow

Looker

BigQuery

GCP

Python

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.

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