Software Engineer - Data
Summary
The Data Engineer will design and maintain scalable batch and streaming data pipelines using lakehouse architectures and cloud environments. The role involves collaborating with cross-functional teams to ensure data quality, security, and governance within a hybrid work model in Barcelona.
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.
Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.
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 DevOps practices
Work in agile, interdisciplinary teams with Data Scientists, Data Engineers, Product Owners, and specialist departments
Your Profile
4+ 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 SQL
Experience with batch and streaming technologies, ideally Kafka, Flink, or Confluent xkdbapo
Knowledge of GCP, Azure, BigQuery, GCS, Azure Blob Storage, or Databricks Unity Catalog
Understanding of RBAC/CBAC, data governance, CI/CD, and DevOps
Experience with tools such as Azure DevOps, GitLab, JFrog Artifactory, SonarQube, or Snyk is a plus
Analytical mindset, independence, and a hands-on approach
Location:
Barcelona
Working model:
Hybrid
Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.
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 DevOps practices
Work in agile, interdisciplinary teams with Data Scientists, Data Engineers, Product Owners, and specialist departments
Your Profile
4+ 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 SQL
Experience with batch and streaming technologies, ideally Kafka, Flink, or Confluent xkdbapo
Knowledge of GCP, Azure, BigQuery, GCS, Azure Blob Storage, or Databricks Unity Catalog
Understanding of RBAC/CBAC, data governance, CI/CD, and DevOps
Experience with tools such as Azure DevOps, GitLab, JFrog Artifactory, SonarQube, or Snyk is a plus
Analytical mindset, independence, and a hands-on approach
Location:
Barcelona
Working model:
Hybrid