Artificial Intelligence Architect

beBeeDataEngineer; Andalucía; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A technology-driven company in Andalucía seeks a Data Engineer to design and build scalable data pipelines and APIs. The ideal candidate has over 3 years of experience in data/software engineering, with strong skills in SQL, Python, and cloud technologies. Join a diverse team working on cutting-edge AI projects with flexible arrangements and strong opportunities for growth.

Servicios

Opportunity to work on cutting-edge AI projects

Access to state-of-the-art tools

Chance to collaborate with experts

Flexible working arrangements

Formación

• 3+ years of experience in data/software engineering.
• Strong SQL & Python skills.
• Cloud experience (GCP or AWS).
• Proficiency in Apache Spark or PySpark.
• Experience with real-time systems and containerization.

Responsabilidades

• Design and build scalable data pipelines.
• Implement real-time streaming architectures.
• Collaborate with data scientists to productionize models.
• Maintain data quality and monitoring systems.
• Contribute to multi-disciplinary team efforts.

Conocimientos

SQL

Python

OOP

Git

GCP or AWS

Apache Spark or PySpark

Real-time systems

Docker

Kubernetes

Monitoring tools

Herramientas

Grafana

Prometheus

Datadog

Airflow

Dagster

Prefect

Descripción del empleo

Transform Industries with Cutting-Edge Technology

We are building a next-generation AI platform that delivers personalized customer experiences at scale. This involves processing large amounts of data, using advanced machine learning and natural language models to power intelligent recommendations, contextual content, and real-time decisioning.

As a member of our team, you will have access to the latest NLP / NLG tools, foundation models, hybrid vector databases, and all the infrastructure needed to fine-tune, evaluate, and serve production-grade models.

We go beyond training models; we build AI systems that are accurate, fast, reliable, and deeply integrated into user-facing products. Join us in shaping the future of intelligent systems.

Key Responsibilities :

• Design and build scalable, high-performance data pipelines and APIs.
• Implement real-time streaming architectures for intelligent, low-latency AI decisions.
• Collaborate with data scientists and ML engineers to productionize models and agents.
• Maintain data quality, monitoring systems, and alerting infrastructure.
• Influence architecture, tooling, and engineering culture from day one.
• Contribute to a multi-disciplinary team working across data, engineering, and product.

Benefits of Working with Us :

Opportunity to work on cutting-edge AI projects that drive real-world impact.

Access to state-of-the-art tools and technologies.

Chance to collaborate with a diverse team of experts.

Flexible working arrangements with regular in-person meetings.

What We Look For :

3+ years of experience in data / software engineering.

Strong SQL & Python skills; solid grasp of OOP and Git best practices.

Cloud experience (GCP or AWS).

Proficiency in Apache Spark or PySpark.

Real-time systems (Pub / Sub, Kinesis) and containerization (Docker, Kubernetes).

Monitoring tools (e.g., Grafana, Prometheus, Datadog).

Additional Requirements :

Familiarity with embeddings, vector DBs, graph databases.

Orchestration tools (Airflow, Dagster, Prefect).

Startup or consulting background.

Core Competencies :

Honesty and integrity.

Integrity and ownership mindset.

Curious and driven to learn fast.

Team player who thrives in ambiguity.

Passion for building things that matter.

Fast and keen learner.