Senior Data Engineer

A leading global financial services organisation is seeking a Senior Data Engineer to join its

Cybersecurity Science & Analytics function.

The successful consultant will join a multi-skilled Platform & Data Engineering team responsible for

delivering engineering capabilities across a strategic cybersecurity data lake and analytics platform.

The role combines data engineering, cloud infrastructure, automation, platform operations and

production support responsibilities.

Responsibilities

• Design, develop and optimise cloud-based data pipelines and ETL workflows.
• Ingest data from internal and external sources into enterprise data platforms.
• Create and maintain curated datasets and reusable data assets.
• Improve reliability, automation and operational resilience of data services.
• Support Azure cloud infrastructure and data platform operations.
• Work closely with engineering teams to onboard new data sources and define schemas.
• Contribute to exploratory data analysis and platform enhancement initiatives.
• Support real-time analytics and data availability improvements.
• Strong Data Engineering experience.
• Enterprise ETL and data pipeline development.
• Python or equivalent scripting experience.
• GitHub and CI/CD practices.
• Linux administration and scripting.
• Infrastructure as Code, ideally Terraform.
• Unity Catalog
• SIEM and SOAR platforms

Experience

• Cloud-based data platforms
• Data lake architecture and delivery
• Regulated industries advantageous
• Cybersecurity experience beneficial but not essential
• Collaborative global engineering team
• Multi-disciplinary technology environment
• Strong learning and development culture
• Exposure to cybersecurity, cloud platform engineering and advanced analytics

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