We are looking for a Data Security Engineer to join our Data Governance & Security Team. You work on multiple projects helping our clients protect their data across their data platforms, Microsoft 365 and AI landscape. You take initiative and can work independently, but mostly operate in smaller and bigger teams, with coaching and support from your senior peers.
We work with Microsoft Purview, Microsoft Entra, Microsoft Defender, Databricks and Microsoft Fabric. You don't need to master all of them yet: a first experience with part of the Microsoft security and compliance stack is welcome, and you'll build your skills on the job. You'll be surrounded by an experienced peer group, so you'll always have colleagues to spar with on the (technical) decisions you make
Key responsibilities
As a Data Security Engineer, you work hands-on to make sure our clients' data is discovered, classified and protected, so it's ready for analytics and AI in a secure and compliant way. Every mission is a collaboration with the customer, where we translate their security and compliance ambitions into concrete deliverables.
Run Data Security Assessments to map where sensitive data lives and how it is exposed
Design and implement Sensitivity Labels, Data Loss Prevention (DLP) and Insider Risk Management policies in Microsoft Purview
Secure data platforms: access control and governance in Databricks Unity Catalog and Microsoft Fabric, together with Entra ID (Conditional Access, Privileged Identity Management)
Help customers adopt AI safely: Data Security Posture Management (DSPM) for AI and data protection for Microsoft 365 Copilot and other AI tools
Translate regulatory requirements such as NIS2, GDPR and the EU AI Act into practical technical controls
Collaborate with the customer: understand their risks and needs, think along on the solution, and guide them through rollout and adoption
Use AI in your own work, and automate where you can (PowerShell, Graph API)
