Software developer sql server
Summary
Data Engineer building and operating batch and streaming data pipelines on cloud lakehouse platforms for reporting, analytics, and machine learning. Core stack includes Spark, Databricks, Airflow, Kafka, Kubernetes, and cloud platforms like GCP/Azure. Hybrid role based 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.
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
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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 streaming xqbhyrx 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