Cyber Security Engineer

 

 

 

 

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

 

 

 Cyber Security Engineer

Zurich | Working from home up to 60% possible | Reference 6875

 

 

The Swiss Financial Center combines expertise and technology, enabling businesses to thrive here and abroad, processing billions of transactions every day. And SIX/BME is right at the center of it. Do you want to become part of a dynamic team, which protects this ecosystem?     

We are looking for a Cyber Security Engineer to join our growing global team. The team is responsible for designing, deploying and operating a large-scale log management platforms on-premise and in the cloud. Our stack processes billions of events per day in a near real-time manner, protecting our infrastructure and driving our operational & security monitoring and response processes.  We operate a diverse range of technologies from log collection to aggregation and analysis powered by both 3rdparty and internally developed technologies.    

As a member of the team in the cybersecurity organization, you apply your technical know-how to drive log ingestion, aggregation and processing capabilities for our security and operational monitoring with a security-first mindset. You will play an active role supporting the SIEM and operational monitoring by providing real-time log shipping, streaming, parsing, normalization and enrichment of the data. You work hand-in-hand with our internal customers and technology partners to engineer our security stack, increase the level of automation, and evaluate improvements as well as new technologies.  

 

What You Will Do 

• Onboard, assess, and support new data sources in the ecosystem. 
• Build and maintain data pipelines for ingesting diverse log types (e.g., Platform, Application, Security). 
• Implement data parsing and transformation for structured, accessible data. 
• Monitor and resolve data quality issues, ensuring high standards. 
• Create dashboards, reports, and documentation for supported platforms. 
• Support the platform operations 
   

What You Bring 

• Bachelor’s degree in Computer Science, IT, or related field. 
• Experience with ELK stack (Elasticsearch, Kibana, Logstash) and Linux systems. 
• Proficiency in CI/CD (GitLab, Terraform) and Python automation. 
• Strong skills in data modeling, SQL, and large dataset processing. 
• Excellent English communication skills and willingness to be on-call. 

If you have any questions, please call Mateusz Kozielec at +41583998611.

 

For this vacancy we only accept direct applications.

 

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.