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Remote Big Data Engineer

UST España
Valencia, Spain
16 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
3 years minimum
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Big Data Information Engineering Extract Transform Load (ETL) Apache Hive Standard Sql Data Processing Apache Spark Electronic Medical Records Databricks

Job description

UST España Latam is seeking a Mid-Level Big Data Developer to design, develop, and optimize data processing solutions from a remote setup within Spain.You will build Spark-based pipelines, manage ETL processes, and collaborate with cross-functional stakeholders to deliver scalable data platforms.The ideal candidate has 3+ years in data engineering, strong SQL and Spark hands-on experience, and familiarity with Big Data ecosystems (Azure Databricks, EMR, Hive).#J-*****-Ljbffr

Requirements

You will build Spark-based pipelines, manage ETL processes, and collaborate with cross-functional stakeholders to deliver scalable data platforms.The ideal candidate has 3+ years in data engineering, strong SQL and Spark hands-on experience, and familiarity with Big Data ecosystems (Azure Databricks, EMR, Hive). #J-*****-Ljbffr

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

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

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PySpark - Combining Machine Learning & Big Data

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LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

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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

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

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 • 3 months ago

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

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