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# Data Engineer (Spark / Databricks / Snowflake), Hibrido

- **Company:** Plexus
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Airflow, Business Systems, Data Architecture, Information Engineering, Data Infrastructure, Scala (Programming Language), SQL Databases, Data Streaming, Snowflake, Apache Spark, Data Lakes, Pyspark, Apache Kafka, Terraform, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.buscojobs.com.es/data-engineer-spark-databricks-snowflake-hibrido-en-madrid-ID-366200360

## About the Role

Minimum of 3 years of professional experience in:

 - Apache Spark (Scala or PySpark)
 - Databricks
 - SQL
 - Snowflake
 - Experience with Data Lake / Lakehouse architectures
 - Kafka (data streaming)
 - Airflow (pipeline orchestration), Experience in the fashion/textile sector (highly valued)

## Description

Data Engineer (Spark / Databricks / Snowflake)DetailsJoin Plexus Tech.We are currently looking for Data Engineering profiles to participate in the development of modern data platforms based on Spark, Databricks, and Data Lake / Lakehouse architectures.You will join a data architecture team responsible for designing and maintaining data pipelines that support various analytical products and business systems.REQUIREMENTS:Minimum of 3 years of professional experience in:- Apache Spark (Scala or PySpark)- Databricks- SQL- Snowflake- Experience with Data Lake / Lakehouse architectures- Kafka (data streaming)- Airflow (pipeline orchestration)- Terraform (infrastructure as code)- Experience in the fashion/textile sector (highly valued)With our hybrid model, Flexology allows you to work where your talent flows best: from any of our 24 offices across Spain, from home, or combining both.The Plexus Tech work ecosystem fosters a collaborative environment across the company.Work with top-tier professionalsAccess to continuous learning and trainingCareer growth opportunitiesFlexible compensation (health insurance, meal vouchers, childcare, transport)Spark, Scala, PySpark, SQL


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