Data & Ai Engineer

Ubique Systems
Asturias, Spain
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Apache HTTP Server BigQuery Information Engineering Python (Programming Language) Software Deployment Data Ingestion Large Language Models Prompt Engineering

Job description

Data & AI Engineer Spain RemoteHabilidades, experiencia, cualificaciones… Si tiene el perfil adecuado para esta oportunidad, asegúrese de inscribirse hoy mismo.We’re looking for a skilledData & AI Engineerwith strongGCP and AI/ML expertiseto join our team.Location:Spain-based Remote-firstOccasional travel for client meetingsLanguages:Professional English & SpanishStart:ASAPGCP Certification: MandatoryKey SkillsStrongGCP, BigQuery & Data EngineeringexperienceData ingestion & tokenizationPython& Apache AirflowLLM integration & production deploymentPrompt Engineering & xbhjioe Agentic WorkflowsExperience taking AI solutions into productionLooker- highly preferredIf you’re interested or know someone who could be a good fit, please get in touch.

Requirements

Strong GCP, BigQuery & Data Engineering experience Data ingestion & tokenization Python & Apache Airflow LLM integration & production deployment Prompt Engineering & xbhjioe Agentic Workflows Experience taking AI solutions into production

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:06 min

Ingesting streaming data securely with managed hubs

Eldert Grootenboer +1 · World Congress 2023

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

1:49 min

One-way data ingestion for IoT devices

Timothy Marland · World Congress 2023

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

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