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Remote Data Engineer: Bigquery, Lookerml & Etl

Timestamp
Madrid, Spain
6 days ago

Role details

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

Tech stack

Airflow BigQuery Extract Transform Load (ETL) SQL Databases Looker Analytics

Job description

Timestamp busca un profesional para diseñar e implementar procesos ETL/ELT eficientes en un entorno 100% remoto.El candidato ideal debe tener experiencia avanzada en SQL y GCP, así como conocimientos en Looker y modelado de datos dimensionales.Se ofrece un proyecto de larga duración con incorporación prevista para el 9 de agosto.Se valora experiencia en herramientas como dbt y Airflow.#J-*****-Ljbffr

Requirements

El candidato ideal debe tener experiencia avanzada en SQL y GCP, así como conocimientos en Looker y modelado de datos dimensionales., Se valora experiencia en herramientas como dbt y Airflow.

Benefits & conditions

Se ofrece un proyecto de larga duración con incorporación prevista para el 9 de agosto.

Apply for this position

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

Apply on www.buscojobs.com.es

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

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · WWC 2024

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · WWC 2024

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · WWC 2025

Videos

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

Data Science in Retail

Julian Joseph

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

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

Sandhya Menon

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

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
WWC 2024 • almost 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Making Data Warehouses fast. A developer's story. thumbnail
42:16
JS Congress • over 4 years ago

Making Data Warehouses fast. A developer's story.

Adnan Rahic

Data Governance in the Era of AI thumbnail
20:04
WWC 2025 • 12 months ago

Data Governance in the Era of AI

Kateřina Ščavnická

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