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# Software Engineer - Data

- **Company:** Lawrence Harvey
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Microsoft Azure, BigQuery, Cloud Storage, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Systems, DevOps, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, Role-Based Access Control, SONAR (Symantec), Data Streaming, Working Model 2D, Google Cloud, Cloud Platform System, Apache Spark, Gitlab, Kubernetes, Apache Flink, Apache Kafka, Data Management, Video Streaming, Confluent, Databricks, Artifactory
- **Published:** September 16, 2026
- **Apply:** https://www.buscojobs.com.es/software-engineer-data-en-madrid-ID-370587081

## About the Role

This is a hybrid role in Barcelona, working on scalable data platforms and modern data solutions.
Your Responsibilities Develop and operate robust batch and streaming data pipelines for reporting, analytics, and machine learning Design and optimize scalable solutions using distributed systems and lakehouse architectures Ensure data quality, security, governance, and scalability across data platforms Monitor and troubleshoot data infrastructure and contribute to CI/CD and Dev Ops practices Work in agile, interdisciplinary teams with Data Scientists, Data Engineers, Product Owners, and specialist departments Your Profile4+ years hands-on experience in Data Engineering, distributed data processing, and cloud environments Strong experience with Apache Spark, Databricks, Apache Airflow, and Kubernetes Experience with Python, Scala, or Java and SQLExperience with batch and streaming technologies, ideally Kafka, Flink, or Confluent Knowledge of GCP, Azure, Big Query, GCS, Azure Blob Storage, or Databricks Unity Catalog Understanding of RBAC/CBAC, data governance, CI/CD, and Dev Ops Experience
with tools such as Azure Dev Ops, Git Lab, JFrog Artifactory, Sonar Qube, or Snyk is a plus Analytical mindset, independence, and a hands-on approach Location: Barcelona Working model: Hybrid

## Description

We are looking for one of our client for a talented Data Engineer is looking for a Data Engineer with hands-on experience in modern data engineering, distributed systems, lakehouse architectures, and cloud environments.This is a hybrid role in Barcelona, working on scalable data platforms and modern data solutions.Your Responsibilities Develop and operate robust batch and streaming data pipelines for reporting, analytics, and machine learning Design and optimize scalable solutions using distributed systems and lakehouse architectures Ensure data quality, security, governance, and scalability across data platforms Monitor and troubleshoot data infrastructure and contribute to CI/CD and Dev Ops practices Work in agile, interdisciplinary teams with Data Scientists, Data Engineers, Product Owners, and specialist departments Your Profile4+ years hands-on experience in Data Engineering, distributed data processing, and cloud environments Strong experience with Apache Spark, Databricks, Apache Airflow, and Kubernetes Experience with Python, Scala, or Java and SQLExperience with batch and streaming technologies, ideally Kafka, Flink, or Confluent Knowledge of GCP, Azure, Big Query, GCS, Azure Blob Storage, or Databricks Unity Catalog Understanding of RBAC/CBAC, data governance, CI/CD, and Dev Ops Experience with tools such as Azure Dev Ops, Git Lab, JFrog Artifactory, Sonar Qube, or Snyk is a plus Analytical mindset, independence, and a hands-on approach Location: Barcelona Working model: Hybrid


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