Cybersecurity Data Hub Engineer

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 hybrid working options. BNP Paribas is a European leader in banking and financial services. This role is crucial for transforming fragmented cybersecurity data into a cohesive narrative, enabling data-driven decision-making for stakeholders worldwide by designing and implementing a robust Cybersecurity Data Hub and its presentation layer.

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

• Team: Chief Information Security Officer (CISO) Office’s Governance and Strategy team
• Mission: Architect both the data pipeline and the presentation layer of cybersecurity intelligence, transforming fragmented data streams and raw telemetry into a cohesive narrative for various audiences.
• Tech Stack: Python (Pandas, PySpark), SQL (MSSQL, T-SQL, PostgreSQL), Power BI (Data Analysis Expressions), Excel (Power Query), PowerPoint (Slide Master), ETL orchestration, API integration, Security Information and Event Management (SIEM), Vulnerability Scanners, ServiceNow Governance, Risk, and Compliance (GRC), Confluence/SharePoint

What You’ll Actually Do
• Data Engineering: Conduct an audit of existing cybersecurity metrics, data sources, and manual workflows to identify automation opportunities and design scalable data pipelines.
• Pipeline Implementation: Work with stakeholders to implement and improve data pipelines, ensuring accurate and reliable flow of cybersecurity information from source to end.
• Dashboard Automation: Build, maintain, and optimise automated Power BI dashboards to provide live, data-driven, quantitative visualisations, replacing manual reports.
• Reporting Standardization: Enforce consistent reporting templates and slide masters across all department communications and lead periodic validation sessions to refine KPI relevance.
• Executive Communication: Synthesise large, complex cybersecurity datasets into concise narratives and present them confidently to executive management and various stakeholders.

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 (Data Analysis Expressions), Excel (Power Query), and PowerPoint (Slide Master), knowledge of ETL orchestration, Security Architecture, and API integration, and an advanced level of English (written and oral).
• Bonus: Certifications in Azure Data Engineering (DP-203/700), Microsoft Data Analyst (PL-300) or equivalent, and/or CompTIA Security (SY0-701).