BUILD THE FUTURE OF FINANCIAL MARKETS. BUILD YOURS.

Ready to make a real impact in the financial industry? At Deutsche Börse Group, we’ll empower you to grow your career in a supportive and inclusive environment. With our unique business model, driven by 15,000 colleagues around the globe, we actively shape the future of financial markets. Join our One Global Team!

WHO WE ARE

Deutsche Börse Group is one of the world’s leading exchange organisations and an innovative market infrastructure provider. With our products and services, we ensure that capital markets are fair, transparent, reliable, and stable. Together, we develop state-of-the-art IT solutions and offer our IT systems all over the world. Play a key role in our mission: to create trust in the markets of today and tomorrow.
Frankfurt am Main

YOUR AREA OF WORK:

As part of Deutsche Börse Group’s digital transformation and cloud migration journey, the Big Data & Advanced Analytics (BDAA) team is seeking a skilled and forward-thinking Databricks Platform Engineer. This role is central to designing, building, and optimizing our enterprise-grade data platform on Databricks, enabling scalable data product development across the value chain from BI to AI.
You will join a dynamic team of data & automation engineers and architects, contributing to the definition and deployment of cloud data architecture, platform automation, and operational excellence. Your work will directly support business use cases in big data and advanced analytics across one of the world’s leading financial exchanges.

RECRUITING TEAM

Take your career to the next level with us and embrace new challenges!
+496921111810
Our Recruiting Team is looking forward to your call or e-mail.

• Provision and configure Databricks workspaces using Terraform, CLI, and SDK.
• Manage workspace-level settings including clusters, libraries, compute policies, and access controls.
• Define and maintain catalogs, schemas, and tables across workspaces using Unity Catalog.
• Ensure the data platform is secure, scalable, and highly available.
• Contribute to the implementation of the Data Mesh paradigm across domains.
• Act as a technical advisor to data scientists, analysts, and business users.
• Drive onboarding, training, and enablement programs to scale platform adoption.
• Maintain technical documentation and contribute to Agile ceremonies and sprint planning.