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Senior Big Data Engineer: Spark, Azure & Real-Time Data

Shakers
Madrid, Spain
4 days ago
Apply on www.buscojobs.com.es
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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

Java (Programming Language) Microsoft Azure Big Data DevOps Python (Programming Language) DataOps Apache Spark Google Bigquery Real Time Data Powerapps Databricks

Job description

Shakers busca un/a Data Engineer Big Data para unirse a un proyecto a largo plazo con presencia híbrida en Madrid.Trabajarás en soluciones con Spark, Java y Python, gestionando datos batch y en tiempo real y liderando la integración de pipelines desde requisitos hasta producción.El equipo maneja Azure (Power Apps, Data Factory, Databricks) y Google BigQuery, con foco en eficiencia y DevOps/DataOps.Se valorará experiencia en seguros y capacidad de generar documentación técnica clara.#J-*****-Ljbffr

Requirements

Se valorará experiencia en seguros y capacidad de generar documentación técnica clara.

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Good distractions

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

Moments

Explore playlists

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

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

PySpark - Combining Machine Learning & Big Data

Ayon Roy

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

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
World Congress 2026 Europe • 2 months ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

Dominik Krichbaum

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
World Congress 2024 • about 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

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

DevOps Maturity Check – a way to balance autonomy and alignment thumbnail
42:52
LIVE • almost 6 years ago

DevOps Maturity Check – a way to balance autonomy and alignment

Martin Thalmann

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