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# Remote Backend Spark Developer - Data Pipelines

- **Company:** Talan SAS
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Data Infrastructure, SQL Databases, Data Processing, Apache Spark, Backend, Data Pipelines
- **Published:** August 5, 2026
- **Apply:** https://www.buscojobs.com.es/remote-backend-spark-developer-data-pipelines-en-madrid-ID-365546659

## About the Role

The ideal candidate should have 1.5 to 2 years of experience in data engineering, a solid understanding of Apache Spark and SQL, and be able to work full-time remotely within the Spain time zone.
#J-*****-Ljbffr

## Description

Talan Group is looking for a Mid-Level Backend Spark Developer to join their data engineering team in Málaga, Spain.This role involves developing and optimizing data processing solutions using Apache Spark while collaborating with cross-functional teams to enhance the data platform.The ideal candidate should have 1.5 to 2 years of experience in data engineering, a solid understanding of Apache Spark and SQL, and be able to work full-time remotely within the Spain time zone.#J-*****-Ljbffr


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- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline)
- [Let's Get Aggregated: Custom UDAFs in Spark  ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark)

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