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 integral 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. xohynlm
- Comfortable working collaboratively through code reviews and technical design discussions.

¿Tiene lo que se necesita para triunfar? La siguiente información debe ser leída atentamente por todos los candidatos.

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