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Ingeniero De Datos - Productos De Datos Ia/Ml (Remoto)

Oxigent Technologies
Barcelona, Spain
17 days ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Airflow Microsoft Azure Cloud Computing Information Engineering Python (Programming Language) SQL Databases Apache Spark Databricks

Job description

Oxigent Technologies busca un Data Engineer especializado/a en Data Products para liderar la operacionalización de modelos de IA y ML a escala en su Hub Digital, ubicado en Barcelona.Desarrollarás pipelines de datos, convertirás modelos en productos de datos fiables y colaborarás con equipos internacionales en un entorno híbrido.Se requieren al menos 4 años en Ingeniería de Datos, Python/SQL, y experiencia con Databricks, Spark, Airflow y entornos Cloud (GCP/Azure).#J-*****-Ljbffr

Requirements

Desarrollarás pipelines de datos, convertirás modelos en productos de datos fiables y colaborarás con equipos internacionales en un entorno híbrido.Se requieren al menos 4 años en Ingeniería de Datos, Python/SQL, y experiencia con Databricks, Spark, Airflow y entornos Cloud (GCP/Azure).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

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

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:56 min

Options for database machine learning integration architectures

Akmal Chaudhri Akmal Chaudhri · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 3 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 3 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

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