Описание

Zurich Insurance Group is a integral insurance company. Its Technology Delivery Center in Barcelona provides technological solutions and support to local and global business units, covering software development, data analytics, cybersecurity, and IT infrastructure. Задачи

Own and evolve the Databricks platform supporting the Zurich Global Finance Data Hub, ensuring scalability, reliability, security, and cost efficiency; Design, build, and maintain batch, streaming, API, and CDC data ingestion frameworks across multiple source systems; Develop and manage Delta Live Tables pipelines with data quality controls, expectations, schema enforcement, and change data capture; Administer and optimise Delta Lake environments, including performance tuning, schema evolution, time travel, VACUUM, and OPTIMIZE operations; Implement and manage Unity Catalog governance practices, including access controls, data lineage, data classification, and namespace management; Build, deploy, and support Databricks Workflows for complex multi-task pipeline orchestration, dependency management, retries, and event-driven processing; Establish and maintain CI/CD pipelines using Git-based development practices and Databricks Asset Bundles across development, testing, and production environments; Collaborate with cloud and infrastructure teams to implement Infrastructure as Code solutions using AWS CloudFormation or CDK; Manage authentication and authorisation mechanisms, including AWS IAM roles, instance profiles, service principals, secret management, and credential rotation; Monitor platform health, performance, operational metrics, and costs using Databricks system tables, CloudWatch, Grafana, and related observability tools; Define and enforce cluster policies, compute strategies, and DBU governance controls to optimise platform utilisation and expenditure; Ensure platform security through PrivateLink, VPC endpoints, row-level security,



and column-level security controls; Partner with data engineering, finance, architecture, and product teams to deliver a robust and scalable enterprise data platform; Drive platform best practices, technical standards, automation, and continuous improvement across the data ecosystem. Требования

5-8 Years of experience in Data Engineering, Data Platform Engineering, or Cloud Data Architecture; At least 3 years of hands‑on experience owning and managing Databricks platforms in enterprise environments; Strong expertise in Databricks services, including Unity Catalog, Delta Lake, Delta Live Tables, Workflows, and Asset Bundles; Proven experience designing and supporting batch, streaming, API, and CDC data ingestion frameworks; Advanced proficiency in PySpark, Python, and Databricks SQL for scalable data pipeline development; Solid knowledge of DevOps practices, including Git-based development, CI/CD pipelines, automated testing, and Infrastructure as Code; Strong AWS experience with S3, IAM, networking, security controls, and secrets management; Experience with large-scale data platforms in regulated industries; Nice to have: Financial services experience, Databricks and/or AWS certifications, Airflow, Kafka/MSK, enterprise data governance frameworks. Условия

Flexible working model; Option to work abroad for up to 25 days per year; Over 300 euros for home office setup and an additional monthly home office allowance; Internal and external training, including English, German, and Spanish classes depending on business needs; Ticket restaurant and health insurance with the option to exchange them for other benefits; Life and accident insurance; Collective life retirement plan; 2000 Referral bonus for referring talented employees; Special banking and insurance conditions and exclusive employee discounts; Functional diversity benefits; Stock options and mortgage benefits; Work location: Barcelona, Poblenou.

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📌 platform engineer for financial data platforms (Madrid)
🏢 Enfint
📍 Madrid