Empower cybersecurity through data — build intelligent pipelines that turn complex information into measurable risk reduction! Krakow-based opportunity with a hybrid work model, including a minimum of 6 days per month from the office and up to 3 remote days per week. As a Senior Cybersecurity Data Engineer , you will be working for our client, supporting the Cybersecurity Risk Quantification team in developing, implementing, and managing a mathematical model that measures how improvements to the control environment reduce risk exposure.
Working within the wider Cyber Science & Analytics team, you will enable cybersecurity functions to protect the organization through reliable data engineering and innovative capabilities. Your main responsibilities: Design, implement, improve, and support data flows and data-related technologies for analytics initiatives. Build and maintain data pipelines and data buses that collect information from disparate internal and external sources.
Transport and deliver data to data warehouses and data lakes in the required format. Apply advanced data manipulation techniques to ensure data availability and usability throughout data flows. Ensure data quality, security, and compliance in line with regulatory and system requirements.
Provide ongoing technical support to stakeholders within and outside the science and analytics environment. Implement data governance controls, including lineage, metadata, data quality rules, access controls, and retention