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Senior Data Engineer - Etl & Apis | Hybrid (Energía) - €34.000 - €38.000 Al Año

Ad4 Octogono
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
5 years minimum
Compensation
€34,000.0 - €38,000.0
Working hours
Shift work
Languages
English
Job source
www.buscojobs.com.es

Tech stack

Application Programming Interfaces (APIs) Airflow Microsoft Azure Extract Transform Load (ETL) Python (Programming Language) Data Streaming

Job description

AD4 Octógono busca un profesional con más de 5 años de experiencia en Python y Data Engineering para unirse a su equipo en Madrid.El candidato se encargará de diseñar, desarrollar y optimizar flujos de datos, contribuir a procesos ETL, y trabajar en un entorno híbrido/remoto.Se valorará experiencia con Apache Airflow y Azure Cloud.Se requiere inglés C1 y se ofrece un salario entre 34,000 y 38,000€ anuales.#J-*****-Ljbffr

Requirements

Se valorará experiencia con Apache Airflow y Azure Cloud.

Benefits & conditions

Se requiere inglés C1 y se ofrece un salario entre 34,000 y 38,000€ anuales.

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

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:19 min

Introduction to Apache Airflow for advanced orchestration

Alan Mazankiewicz · LIVE

1:50 min

Lowering pipeline latency with data streaming

Nathaniel Okenwa Nathaniel Okenwa · World Congress 2024

1:06 min

Outline of free tools for Microsoft Azure

Radu Vunvulea Radu Vunvulea · World Congress 2022

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:11 min

Deploying and running Airflow in cloud environments

Alan Mazankiewicz · LIVE

Videos

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31:15
World Congress 2026 Europe • 3 months ago

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

Sandhya Menon

Fully Orchestrating Databricks from Airflow thumbnail
39:14
LIVE • almost 5 years ago

Fully Orchestrating Databricks from Airflow

Alan Mazankiewicz

Python-Based Data Streaming Pipelines Within Minutes thumbnail
39:04
LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Developer Tools for Microsoft Azure thumbnail
25:41
World Congress 2022 • over 4 years ago

Developer Tools for Microsoft Azure

Radu Vunvulea

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

Develop enterprise-ready applications for Microsoft Teams with Azure resources on modern web technologies thumbnail
43:26
World Congress 2021 • over 5 years ago

Develop enterprise-ready applications for Microsoft Teams with Azure resources on modern web technologies

Markus Möller

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