Data Engineer (Compliance Engineering)

TL;DR

Data Engineer (Compliance Engineering): Developing and maintaining data product pipelines for regulatory security monitoring with an accent on automation and continuous assurance. Focus on building data ingestion pipelines, automating control monitoring, and integrating security telemetry at enterprise scale.

Location: Hybrid; must be based in the UK and able to work from Edinburgh, Bristol, Leeds, or Manchester (at least 2 days per week in office).

Salary: £36,224 - £38,130

Company

A major financial institution transforming security and compliance through data, automation, and modern engineering architectures.

What you will do

• Support the development of regulatory security monitoring and compliance capabilities.
• Contribute to security telemetry and monitoring solutions, including database activity monitoring.
• Assist in developing data ingestion pipelines for both structured and unstructured data sources.
• Automate control monitoring and evidencing to enable continuous compliance.
• Collaborate with engineers and security specialists to deliver high-quality services.
• Maintain user documentation to support team collaboration.

Requirements

• Foundational understanding of technology, data, or security concepts.
• Exposure to scripting or programming (e.g., Python, SQL).
• Must be based in the UK to comply with the hybrid working pattern (minimum 40% office attendance).
• Strong problem-solving skills and a structured approach to learning.
• Good communication skills for effective team collaboration.

Nice to have

• Awareness of cloud platforms such as AWS, Azure, or GCP.
• 1+ years of experience with security concepts or regulatory monitoring controls.
• Exposure to Agile or collaborative ways of working.
• Interest in the application of AI to improve security and compliance.

Culture & Benefits

• Generous pension contribution of up to 15%.
• Annual performance-related bonus and share schemes.
• 24 days of holiday in addition to bank holidays.
• Hybrid working model providing flexibility between home and office.
• Strong commitment to inclusivity, diversity, and employee wellbeing.