I am
Álvaro Gallego,
the recruiter for this position.
Nice to meet you
First, a little bit about what I like the most about working at
Zurich Technology Delivery Center
: The environment here is incredibly collaborative and innovative.
Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive.
Now, I can't wait to share this exciting journey with you at
Zurich

First of all, THANK YOU for considering our company.
We understand that finding the right opportunity can be tough, but I'll try to make it easier.
Who Are We?
Let me introduce us.
You're reading about
Zurich Insurance Group
, a global leader in insurance, but this role specifically pertains to our
Technology Delivery Center (TDC).
Established in Barcelona in ****, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global business units.
In essence, Zurich TDC is where technology meets the vast reach of a multinational company.
We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure.
Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions.
If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a integral scale.
What Can You Expect?
And you might be thinking: This is great, what will my day-to-day be like, at TDC?
I'm glad you asked.
As a Databricks Platform Engineer you will have the opportunity to:
Own and evolve




the Databricks platform that underpins the Zurich Global Finance Data Hub, ensuring scalability, reliability, security, and cost efficiency.
Design, build, and maintain
data ingestion frameworks supporting batch, streaming, API, and CDC data integration patterns across multiple source systems.
Develop and manage
Delta Live Tables (DLT) pipelines, implementing data quality controls, expectations, schema enforcement, and change data capture processes.
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 orchestration of complex multi-task pipelines, dependency management, retries, and event-driven processing.
Establish and maintain
CI/CD pipelines using Git-based development practices and Databricks Asset Bundles to promote code 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 processes.
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 the implementation of 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 initiatives across the data ecosystem.
What Makes You a great Fit?
While we're not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you'll be a fantastic fit for our team.
We are waiting for you
5-8 years of experience in Data Engineering, Data Platform Engineering, or Cloud Data Architecture.
Minimum 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 (CloudFormation or CDK).
Strong AWS experience covering S3, IAM, net

📌 Databricks Platform Engineer (España)
🏢 Zurich Insurance
📍 España