Cybersecurity Data Engineer – CISO Office Data

Job Description

Cyber Security Officer – Security Data Engineer and Visualisation | BNP Paribas

The Tone:
This is a full-time role at BNP Paribas, located in Portugal, with flexible hybrid working options. BNP Paribas is the European leader in banking and financial services, operating globally and structured across three operating divisions. This role is vital for architecting the firm’s cybersecurity intelligence, transforming fragmented data streams and raw telemetry into a cohesive narrative to ensure cybersecurity data is systematically collected and surfaced for stakeholders worldwide.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Hybrid, Portugal

• Team: CISO Office’s Governance and Strategy team
• Mission: Design, implement, and operate a Cybersecurity Data Hub and its presentation layer, transforming fragmented data into a cohesive narrative for various audiences.
• Tech Stack: Python, Pandas, PySpark, SQL, MSSQL, T-SQL, PostgreSQL, Power BI, Data Analysis Expressions (DAX), Excel, Power Query, PowerPoint, Slide Master, SIEM, Vulnerability Scanners, ServiceNow GRC, Confluence, SharePoint.

What You’ll Actually Do
• Audit: Conduct audits of existing cybersecurity metrics, their data sources, manual workflows, and identify opportunities for automation.
• Design: Plan, design, and collaborate with stakeholders to implement scalable data pipelines, ensuring a continuous flow of information from source to end.
• Optimize: Identify, develop, and execute improvements to data pipelines to ensure the accuracy and reliability of cybersecurity data.
• Develop: Build, maintain, and optimize automated Power BI dashboards, replacing manual reporting with live, data-driven, quantitative visualisations.
• Standardize: Enforce standardised reporting templates and slide masters across all department communications and lead periodic validation sessions to refine KPI relevance and metric weightings.

The Must-Haves
• Background: Bachelor Degree in Information Technology, Computer Science, or a related field.
• Experience: Up to 5 years of experience in Data Engineering, Data Analysis, or Cybersecurity, with knowledge in Cybersecurity Risk Domains, Vulnerability Scanners, and the Cybersecurity Operational Landscape.
• Skills: Advanced proficiency in Python (Pandas, PySpark) and SQL (MSSQL, T-SQL, PostgreSQL); advanced expertise in Power BI (DAX), Excel (Power Query), and PowerPoint (Slide Master); knowledge of ETL orchestration, Security Architecture, and API integration.
• Bonus: Certifications in Azure Data Engineering (DP-203/700) or Microsoft Data Analyst (PL-300); CompTIA Security (SY0-701) certification; familiarity with Security Operations data such as SIEM, Vulnerability Scanners, ServiceNow GRC, and documentation tools like Confluence/SharePoint.