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Ingeniero/A De Datos - Bigquery, Gcp Y Kubernetes

Metrica
Madrid, Spain
23 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
2 years minimum
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

BigQuery Data Visualization Python (Programming Language) Google Cloud Google Data Studio Kubernetes Looker Analytics

Job description

METRICA busca un/a Ingeniero/a de Datos para unirse a su equipo en Madrid.El rol requiere un mínimo de 2 años de experiencia en ingeniería de datos, con un profundo conocimiento de Python y Google Cloud Platform.Los candidatos deberán estar familiarizados con Kubernetes y herramientas de visualización de datos como Looker Studio.Ofrecemos un ambiente colaborativo y oportunidades de desarrollo profesional, junto con un paquete de compensación competitivo.#J-*****-Ljbffr

Requirements

El rol requiere un mínimo de 2 años de experiencia en ingeniería de datos, con un profundo conocimiento de Python y Google Cloud Platform.Los candidatos deberán estar familiarizados con Kubernetes y herramientas de visualización de datos como Looker Studio.

Benefits & conditions

Ofrecemos un ambiente colaborativo y oportunidades de desarrollo profesional, junto con un paquete de compensación competitivo.

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

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

Videos

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Data Science in Retail thumbnail
58:21
LIVE • about 3 years ago

Data Science in Retail

Julian Joseph

The Cloud is Calling: Answer with In-Demand Skills thumbnail
21:23
World Congress 2024 • about 2 years ago

The Cloud is Calling: Answer with In-Demand Skills

Asrar

Alibaba Big Data and Machine Learning Technology thumbnail
43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

Making Data Warehouses fast. A developer's story. thumbnail
42:16
JS Congress • almost 5 years ago

Making Data Warehouses fast. A developer's story.

Adnan Rahic

Data Governance in the Era of AI thumbnail
20:04
World Congress 2025 • about 1 year ago

Data Governance in the Era of AI

Kateřina Ščavnická

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