Data Engineer

Data Engineer
Salary: £50,000 - £70,000 + Equity Potential
Location: London (Hybrid)
Security Requirement: Must be eligible for SC Clearance (minimum 5 years continuous UK residency)

Help Build the Future of AI-Powered Public Safety

We're supporting a highly ambitious, venture-backed technology business currently operating in stealth mode. Their vision is bold: to become the world's leading AI company dedicated to supporting law enforcement, public safety and national security organisations through next-generation technology.

This is a rare opportunity to join at an early stage of growth, where you'll play a key role in shaping both the technical architecture and the future direction of the company. Working alongside experienced engineers, AI specialists, data scientists and industry experts, you'll help build the data foundations that power sophisticated machine learning models and cutting-edge AI products designed to solve real-world challenges.

The Opportunity

We're looking for a Data Engineer who enjoys ownership, autonomy and solving complex technical problems. This isn't a traditional data engineering role focused primarily on business intelligence, reporting or dashboards. Instead, you'll be responsible for building and managing the data infrastructure that sits at the core of advanced AI systems.

Key Responsibilities

• Design, build and optimise scalable cloud-based data platforms and pipelines within AWS.
• Develop robust ETL and ELT processes capable of handling high-volume and complex datasets.
• Design and manage data models, schema structures and data reconciliation processes across multiple source systems.
• Build, maintain and improve orchestration frameworks using tools such as Airflow and dbt.
• Develop APIs from scratch to support data access, integration and product functionality.
• Work closely with AI engineers, machine learning specialists and software developers to ensure data platforms effectively support model training, testing and deployment.
• Improve data quality, reliability and performance through automation, monitoring and optimisation.
• Implement and maintain strong security, governance and compliance controls across sensitive data environments.
• Contribute to architectural decisions and help define engineering best practices as the platform scales.

What We're Looking For

Essential Experience

• Strong commercial experience designing and building modern data platforms within AWS environments.
• Excellent knowledge of core AWS technologies, including:
  
  • AWS Glue
  • Amazon S3
  • Amazon RDS
  • Amazon Athena
  • Amazon Redshift
• Strong understanding of data architecture, data modelling and schema management principles.
• Experience creating and maintaining APIs from the ground up, rather than simply integrating with existing APIs.
• Hands-on experience using Airflow, dbt or similar orchestration and transformation tools.
• Experience working with large, complex and varied datasets.

Not the Right Fit If

• Your background is heavily focused on Azure-based data engineering environments.
• Most of your experience has been within SAP-centric data ecosystems.
• You prefer highly structured corporate environments with narrowly defined responsibilities and limited change.

Why Join?

• Join a stealth-mode AI business with significant growth potential and global ambitions.
• Build products that deliver meaningful real-world impact across public safety and law enforcement sectors.