Senior Analytics Engineer - Cyber Data Platform - Welwyn Garden City, United Kingdom of Great Britain and Northern Ireland

As Senior Analytics Engineer on the Cyber Analytics team, you design and build trusted, well-documented data products from raw security data to deliver reliable insights. You collaborate with cross-functional security and data teams to ensure accuracy, governance, and fit-for-purpose data, enabling self-serve analytics and AI-powered experiences. You’ll help shape the analytics platform, champion responsible AI, and mentor junior engineers to deliver high-quality cybersecurity data solutions. This role combines data engineering, analytics enablement, and governance at scale, with a focus on security.

• annual bonus up to 20%
• 25 days holiday + personal day + bank holidays
• private medical insurance
• maternity/adoption leave 26 weeks + 13 weeks SMP/SAP and 6 weeks paternity leave
• 24/7 virtual GP
• Employee Assistance Programme (EAP) for family wellbeing

• Lead data transformation pipelines across raw, trusted, and curated layers to produce scalable data products for security users
• Design and manage logical and physical data models to support threat detection, analysis and reporting
• Develop high-quality data pipelines, documentation, and peer reviews to raise coding standards
• Implement automation for deployment, testing, monitoring and management of data models and quality frameworks
• Support analytics agents and conversational analytics with governance and human oversight
• Create trusted dashboards and visualisations for self-service analytics and storytelling
• Collaborate with security, engineering and data teams to translate needs into data products and communicate complex concepts
• Mentor and contribute to recruitment and development of Cyber Analytics team
• Contribute to analytics platform architecture and responsible AI initiatives
• Support adoption of AI-powered self-service analytics and ensure security controls

• Strong passion for big data, data modelling, data quality and ETLs
• Proficiency in Python/PySpark and SQL
• Experience with ETL/ELT frameworks and orchestration tools (Airflow, dbt)
• Experience building data models on cloud platforms (Databricks on Azure) and implementing automated data quality controls
• Experience with dashboards/visualisations (Tableau) and self-service analytics
• Version control and CI/CD experience (Git)
• Interest or experience in analytics agents/conversational analytics or AI-powered self-service
• Understanding of responsible AI principles, governance and security controls
• Ability to coach junior team members
• Knowledge of cybersecurity principles and practices

• Cross-functional collaboration
• Mentoring and coaching
• Clear communication of complex data concepts
• Python
• PySpark
• SQL