Software Developer- SQL
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Summary
A Data Engineer role (listed as Software Developer - SQL) via recruiter Lawrence Harvey for their client, based hybrid in Barcelona. The person builds and operates batch and streaming data pipelines on cloud platforms, ensuring data quality and governance, using Spark, Databricks, Airflow, Kubernetes, Python/Scala/Java, SQL, and tools like Kafka, Flink, GCP/Azure, and CI/CD tooling.
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.
Descubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta oportunidad desplazándose hacia abajo ahora.
This is a hybrid role in Barcelona, working on scalable data platforms and modern data solutions.
Develop and operate robust batch and streaming data pipelines for reporting, analytics, and machine learning
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
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 xqbhyrx streaming technologies, ideally Kafka, Flink, or Confluent
~ 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
~ Hybrid
Descubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta oportunidad desplazándose hacia abajo ahora.
This is a hybrid role in Barcelona, working on scalable data platforms and modern data solutions.
Develop and operate robust batch and streaming data pipelines for reporting, analytics, and machine learning
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
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 xqbhyrx streaming technologies, ideally Kafka, Flink, or Confluent
~ 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
~ Hybrid