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Ingeniero De Datos Databricks: Lakehouse & Streaming (Híbrido)

Cognodata
Madrid, Spain
19 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) Information Engineering Azure Data Lake SQL Databases Data Streaming Apache Spark Data Lakes Pyspark Databricks

Job description

Cognodata está buscando un perfil senior de Data Engineering para liderar arquitecturas Databricks Lakehouse y procesos de ingesta complejos en Madrid.Se trabajará con fuentes como CDC, batch, archivos y APIs para entregar datos confiables y escalables.La posición exige dominio de Spark/PySpark y Azure Data Lake/Delta Lake, además de SQL avanzado e inglés alto.Teletrabajo híbrido con base en Madrid y mínimo 2 días en oficina, formación continua y entorno dinámico.#J-*****-Ljbffr

Requirements

Teletrabajo híbrido con base en Madrid y mínimo 2 días en oficina, formación continua y entorno dinámico.

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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

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

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

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:32 min

Evolution of centralized data architectures and open table formats

Matthias Niehoff Matthias Niehoff · World Congress 2024

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

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 3 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

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

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 3 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post thumbnail
20:43
Europe 2026 Virtual • 3 months ago

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post

Lukas Alber

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

Data Science in Retail

Julian Joseph

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