AI Data Engineer

As the AI Data Engineer , you will play a pivotal role in establishing the data infrastructure for a newly formed team dedicated to implementing AI-driven processes across the company's CRM platform, Progressive Web Apps (PWA), decisioning engine, and various proprietary tools.

This is a unique opportunity to influence the design of data pipelines, ensure data quality, and set the standards for how data supports AI applications within a complex, multi-platform environment.

Key Responsibilities :

Data Pipeline Design : Design and maintain data pipelines that support AI-driven features across CRM, PWAs, the decisioning engine, and other proprietary tools, establishing the foundational data infrastructure for the team.

Data Quality Management : Ensure data quality, consistency, and availability to support AI applications such as NLP, real-time analytics, and adaptive AI systems across multiple platforms, setting standards for data management within the team.

Integration Collaboration : Work closely with the AI Integration Developer to connect data sources with third-party AI tools, influencing the technical approach to data integration within the proprietary technology stack.

Optimisation : Optimise data storage and retrieval processes, helping to define how data supports AI integration across various systems, ensuring efficient and scalable data handling.

Monitoring and Logging : Implement monitoring and logging solutions to track data flow and AI tool performance, establishing processes that ensure data-driven decision-making within the team.

Cross-Functional Collaboration : Collaborate with cross-functional teams to align data strategies with business goals, influencing the data strategy for the new team and contributing to the overall success of AI initiatives.

• Extensive experience in data engineering or database management, particularly in AI / ML applications across multiple platforms.


• Proficiency in SQL, NoSQL, and data pipeline tools.


• Practical experience with cloud platforms such as AWS, Google Cloud, or Azure.


• Understanding of data preparation for AI / ML models, including those involving AI agents and feedback loops within complex technology environments.


• Demonstrated ability to shape data practices within new teams and deliver effective data solutions across diverse systems.


This is an exceptional opportunity to join a forward-thinking Fintech company at the forefront of AI innovation, where your expertise in data engineering will be instrumental in driving the next wave of AI-driven solutions, Extensive experience in data engineering or database management, particularly in AI / ML applications across multiple platforms.

Proficiency in SQL, NoSQL, and data pipeline tools. Practical experience with cloud platforms such as AWS, Google Cloud, or Azure.

Understanding of data preparation for AI / ML models, including those involving AI agents and feedback loops within complex technology environments.

Demonstrated ability to shape data practices within new teams and deliver effective data solutions across diverse systems.

AI - Data Engineer - Our client is a leading Fintech company in the financial services sector, recognized for their innovative approach to enhancing their bespoke, cutting-edge CRM platform.

This platform is central to their operations, enabling the continuous delivery of market-leading features and the expansion of their diverse product offerings to both residential and commercial customers., This is an exceptional opportunity to join a forward-thinking Fintech company at the forefront of AI innovation, where your expertise in data engineering will be instrumental in driving the next wave of AI-driven solutions


• Perkbox perks : great deals on holidays, shopping, cinema tickets, health cover, car rental and much, much more.


• BUPA health insurance


• Paid Holiday


• Company Pension


• Fully remote working with all equipment provided for you