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Tech Lead & Senior Data Engineer (Gcp) - Madrid Hybrid

IZERTIS S.A
Madrid, Spain
6 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

Artificial Intelligence Airflow Data Transformation Apache Spark Apache Nifi Looker Analytics

Job description

Izertis busca un/a Google Data Engineer y Tech Lead para un cliente del sector Travel & Hospitality en Madrid, con modalidad híbrida.Se requiere más de 5 años de experiencia en ingeniería de datos y al menos 2 años en liderazgo técnico. Gestionarás la ingesta y transformación de datos en GCP, diseñarás pipelines, y asegurarás estándares de calidad y SLAs junto con equipos de negocio y proveedores.Se valorarán Apache NiFi, Spark, Airflow, dbt, Looker y Vertex AI.#J-*****-Ljbffr

Requirements

Se requiere más de 5 años de experiencia en ingeniería de datos y al menos 2 años en liderazgo técnico. Gestionarás la ingesta y transformación de datos en GCP, diseñarás pipelines, y asegurarás estándares de calidad y SLAs junto con equipos de negocio y proveedores. Se valorarán Apache NiFi, Spark, Airflow, dbt, Looker y Vertex AI.

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

4:36 min

Hiring passionate software engineers to tackle unprecedented scaling challenges

Dana Lawson Dana Lawson +1 · World Congress 2026 Europe

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 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

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

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment thumbnail
25:41
World Congress 2024 • about 2 years ago

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment

Joy

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

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