Develop innovative security platform to process reported quality and security findings of systems and with enrichment and connecting the data, creating more in-depth insights to improve the security posture view and facilitate the prioritization of risks.
Implementing a large-scale data pipeline to ingest, aggregate and enrich findings reported by different tools and deliver prioritized actionable list of findings.
Design practical and complex models to enable other analyst to use of the processed data.
Ensure data quality and reliability
Create insights and dashboards
Requirements
Bachelor’s or master’s degree in computer science or a related field, demonstrating a solid theoretical foundation and analytical ability
At least 4 years of relevant experience in data engineering, building and operating scalable data platforms in production environments
Strong programming skills (Python) with software engineering best practices, including testing (unit/integration) and version control
Solid experience with data engineering fundamentals: ingestion, transformation, serving, and building scalable, production-grade pipelines
Experience designing data models for both analytics and operational use cases, including asset correlation and relationship-driven insights (e.g., graph-based approaches)
Hands-on experience integrating multiple data sources (APIs, event streams, databases), including event-driven or asynchronous data flows
Strong hands-on experience with Databricks (Delta Lake, Structured Streaming, Unity Catalog), including Medallion architecture, performance optimization, and operationalization via workflows and CI/CD (e.g., Terraform, Asset Bundles)
Strong understanding of data quality, validation, observability, and reliability in production environments
Comfortable working in containerized environments and modern DevOps ecosystems
Ability to translate product needs into data logic, including prioritization and risk-based insights
Striving for results (Resultaatgericht): You consistently pursue measurable outcomes and drive projects to completion
Stimulating collaboration (Collaborating): You foster teamwork, encourage knowledge sharing, and build strong relationships across multidisciplinary teams
Tech Stack
Python
Terraform
Unity
Benefits
Thirteenth month's salary and 8% holiday allowance
10% Employee Benefit Budget
EUR 1,400 development budget per year
Hybrid working: balance between home and office work (possible for most roles)
A pension, for which you can set the maximum amount of your personal contribution