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Data Engineer

American It Systems
Madrid, Spain
13 days ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English, Spanish
Job source
www.buscojobs.com.es

Tech stack

Java (Programming Language) Airflow Amazon Web Services Information Engineering Python (Programming Language) Scrum Methodology SQL Databases Qliksense Apache Spark Pyspark Data Analytics Qlikview
+5 more
AWS Data Analytics Apache Kafka Data Pipelines Docker Databricks

Job description

Role: Data Engineer Location: Madrid, Spain Duration: 12 Months (Extendable) Language Requirement: Spanish + English (Mandatory) Mandatory Skills 3+ years of Data Engineering experience 2+ years of Data Analytics experience on AWS PySpark / Apache Spark Python SQL AWS Data Services Airflow (Data Pipeline Orchestration) Docker & ECS Spanish and English communication skills Preferred Skills Kafka dbt Databricks Java QlikView / Qlik Sense Agile / Scrum

Requirements

Mandatory Skills 3+ years of Data Engineering experience 2+ years of Data Analytics experience on AWS PySpark / Apache Spark Python SQL AWS Data Services Airflow (Data Pipeline Orchestration) Docker & ECS Spanish and English communication skills Preferred Skills Kafka dbt Databricks Java QlikView / Qlik Sense Agile / Scrum

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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

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 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

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

Data Science in Retail

Julian Joseph

Docker Compose: Rediscovered thumbnail
28:40
Europe 2026 Virtual • 2 months ago

Docker Compose: Rediscovered

Matthieu Vincent

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

Enjoying SQL data pipelines with dbt

Matthias Niehoff

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

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