Software Engineer - Data | Data Mesh & Lakehouse About the Role We are looking for a Software Engineer - Data to join a central Data Delivery team building the foundation of a general Data Mesh platform based on a Lakehouse architecture . You will work on the engineering layer responsible for ingesting, processing and provisioning source-aligned data products into central data catalogs, enabling teams across the organisation to consume trusted data for analytics, reporting, machine learning and other data-driven applications. A key part of the platform is enabling scalable data consumption through zero-copy data sharing , while maintaining strong governance, security and data quality standards. What You'll Be Working On Design and build scalable batch and streaming data pipelines . Develop ingestion solutions for source-aligned data products. Work with Apache Spark and Databricks within a modern Lakehouse environment. Implement data ingestion strategies including Full Loads, Delta Loads and Change Data Capture (CDC) . Build and maintain streaming pipelines using technologies such as Kafka, Flink or Confluent . Manage datasets stored across Google Cloud Storage and Azure Blob Storage . Enable secure zero-copy data sharing through technologies such as Databricks Unity Catalog and BigQuery.



Implement data governance and access-control models including RBAC and attribute-based access control . Design solutions capable of handling complex schema evolution , including backward and forward compatibility. Tech Environment Data & Processing: Apache Spark, Databricks, BigQuery Streaming & Ingestion: Kafka, Flink, Confluent, Airbyte Cloud & Storage: GCP, Google Cloud Storage, Azure, Azure Blob Storage Orchestration & Platform: Airflow, Kubernetes Governance: Databricks Unity Catalog, RBAC, ABAC/CBAC, Data Contracts CI/CD: GitLab, Azure DevOps, JFrog Artifactory Quality & Security: SonarQube, Snyk What We're Looking For Strong professional experience in Data Engineering or Software Engineering focused on data platforms . Hands-on experience with Databricks and Apache Spark . Experience designing distributed data pipelines in cloud environments. Strong understanding of Lakehouse architectures . Experience or strong knowledge of Data Mesh principles and Data Products . Experience with batch and streaming ingestion patterns. Knowledge of CDC and incremental data processing strategies . Experience dealing with schema evolution in production data pipelines. Understanding of modern data governance and access-control models . Experience with Airflow, Kubernetes and CI/CD . Comfortable working collaboratively through code reviews and technical design discussions.

📌 Software Engineer - Data - Data Mesh & Lakehouse (Barcelona)
🏢 Lawrence Harvey
📍 Barcelona