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Remote Azure Data & Intelligence Engineer - Ai & Analytics

Seidor
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 Data Analysis Microsoft Azure Python (Programming Language) Power BI SQL Databases Enterprise Data Management Azure Data Factory Data Lakes Pyspark

Job description

SEIDOR está buscando un Data & Intelligence Engineer en Castilla y León para diseñar, construir y evolucionar soluciones de datos, analítica e IA sobre el ecosistema Microsoft.Trabajarás con Azure Data Factory, Data Lake y Power BI, integrando datos corporativos y preparando modelos para reporting y IA.Requisitos: 2-5 años en datos, experiencia en Azure, SQL y Python/PySpark; enfoque en gobernanza y calidad de datos.Se ofrece teletrabajo/horario flexible y crecimiento profesional.#J-*****-Ljbffr

Requirements

Requisitos: 2-5 años en datos, experiencia en Azure, SQL y Python/PySpark; enfoque en gobernanza y calidad de datos.

Benefits & conditions

Se ofrece teletrabajo/horario flexible y crecimiento profesional.

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

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

Videos

See all
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

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

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 3 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

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

Data Science in Retail

Julian Joseph

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

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