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Ingeniero/A De Datos (Teletrabajo)

SERIT Consulting
Madrid, Spain
8 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

Application Programming Interfaces (APIs) Cloud Computing Databases Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Standard Sql Git Data Lakes

Job description

Serit está buscando un perfil de Ingeniería de Datos orientado a reforzar y evolucionar la infraestructura actual, conectar diferentes fuentes y bases de datos y mejorar la eficiencia, calidad y disponibilidad de los datos.Deberá ser capaz de ejecutar las líneas de acción ya identificadas y desenvolverse con un buen nivel de autonomía técnica.Experiencia de 2-4 años en Data Engineering o posiciones similares.~ Data Engineering · SQL · Python · ETL/ELT · Data Pipelines · Data Modeling · APIs · Data Warehouse · Data Lake · Cloud · Git · Data Quality Ubicación: Madrid

Requirements

Deberá ser capaz de ejecutar las líneas de acción ya identificadas y desenvolverse con un buen nivel de autonomía técnica. Experiencia de 2-4 años en Data Engineering o posiciones similares. ~ Data Engineering · SQL · Python · ETL/ELT · Data Pipelines · Data Modeling · APIs · Data Warehouse · Data Lake · Cloud · Git · Data Quality Ubicación: Madrid

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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

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

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Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

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

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • over 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

How a Small Team Shrank a Microsoft Monorepo by 94% thumbnail
33:23
Coffee With Developers • almost 2 years ago

How a Small Team Shrank a Microsoft Monorepo by 94%

Jonathan Creamer

Branch your database like your code: How schema changes and pull requests go hand in hand thumbnail
48:05
LIVE • over 4 years ago

Branch your database like your code: How schema changes and pull requests go hand in hand

Johannes Nicolai, Lilli Seyther-Besecke

The Data Mesh as the end of the Datalake as we know it thumbnail
37:21
LIVE • over 5 years ago

The Data Mesh as the end of the Datalake as we know it

Mario Meir-Huber

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