Overview
Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible.

In this role you will own and evolve Zurich’s Databricks platform to support the Global Finance Data Hub, ensuring scalable, secure, and cost-conscious data solutions. You will build and maintain ingestion and processing pipelines, govern data with Unity Catalog, and implement CI/CD and IaC practices in a collaborative, tech-driven environment. You’ll work with cross-functional teams to deliver a robust enterprise data platform that accelerates Zurich’s data strategy and operational efficiency. This is a chance to shape a world-class data foundation within a global insurer.

Compensaciones / Beneficios

- flexible working model
- abroad up to 25 days yearly
- home office allowance
- wide trainings including language classes
- health insurance
- life and retirement plans

Responsabilidades

- Own and evolve the Databricks platform underpinning the Integral Finance Data Hub with focus on scalability, reliability, security, and cost efficiency
- Design, build, and maintain data ingestion frameworks for batch, streaming, API, and CDC across multiple sources
- Develop and manage Delta Live Tables pipelines with data quality, schema enforcement, and CDC
- Administer and optimize Delta Lake environments (performance, schema evolution, time travel, VACUUM, OPTIMIZE)
- Implement Unity Catalog governance (access controls, lineage, classification, namespaces)
- Build, deploy, and support Databricks Workflows for complex pipelines and event-driven processing




- Establish CI/CD pipelines using Git and Databricks Asset Bundles across dev/test/prod
- Collaborate with cloud/infrastructure teams on IaC using CloudFormation or CDK
- Manage authentication/authorization (IAM roles, profiles, service principals, secrets)
- Monitor platform health and costs with Databricks system tables, CloudWatch, Grafana
- Define cluster policies, compute strategies, and DBU governance for optimization
- Ensure security (PrivateLink, VPC endpoints, row/column security)
- Partner with data engineering, finance, architecture, and product teams to deliver scalable data platform
- Drive best practices, automation, and continuous improvement across the data ecosystem

Requisitos principales

- 5-8 years in Data Engineering/Platform Engineering/Cloud Data Architecture
- Minimum 3 years owning and managing Databricks platforms in enterprise xqbhyrx environments
- Strong expertise in Databricks services (Unity Catalog, Delta Lake, Delta Live Tables, Workflows, Asset Bundles)
- Experience designing/supporting batch, streaming, API, and CDC data ingestion frameworks
- Advanced PySpark, Python, and Databricks SQL for scalable pipelines
- DevOps practices including Git, CI/CD, automated testing, and IaC (CloudFormation or CDK)
- AWS experience (S3, IAM, networking, security, secrets)
- Experience with large-scale data platforms in regulated industries; financial services desirable
- Preferred: Databricks/AWS certifications; Airflow, Kafka/MSK; data governance frameworks

- collaboration
- effective communication
- problem-solving
- Databricks Unity Catalog
- Delta Lake
- Delta Live Tables

📌 Databricks Platform Engineer - barcelona
🏢 Jobrapido
📍 Barcelona