Data Engineer AI Applications

TailorFlow AI is a Cambridge-based enterprise AI services company that designs and delivers bespoke solutions for complex business problems. We help enterprises and ambitious mid-market organisations identify valuable AI opportunities and implement systems that work in real business environments.

Our customers are based across the UK, South Africa, the Americas and Australia. Most work happens asynchronously, offering flexibility in how team members structure their day. Depending on the project, you should be comfortable maintaining three to four hours of overlap with the relevant customer geography.

We are a small, growing team primarily based in Cambridge, with newer team members working remotely from India. As our international customer base grows, we are adding more remote team members in India.

We value people who take ownership, approach problems constructively and remain positive when working through ambiguity. We look for colleagues who investigate problems, propose solutions and help move projects forward.

We are looking for a Data Engineer to build reliable data foundations for bespoke AI applications.

You will work with varied client systems and datasets to make information accessible, secure and ready for analytics and AI workflows.

• · Design and build reliable batch and real-time data pipelines.
• · Connect APIs, databases, files and third-party business systems.
• · Clean, transform and structure data for analytics and AI use cases.
• · Implement monitoring, validation and data-quality controls.
• · Optimise pipelines for security, scale, cost and maintainability.
• · Work with AI and application engineers on end-to-end delivery.

• · One to four years of data engineering or backend development experience.
• · Strong Python and SQL skills.
• · Experience with relational databases and data modelling.
• · Understanding of ETL or ELT patterns, APIs and data pipelines.
• · Ability to build maintainable, tested and well-documented systems.
• · Ownership and structured problem-solving.

• · Experience with AWS, Azure or Google Cloud data services.
• · Exposure to orchestration tools, containers or data warehouses.
• · Experience handling documents or other unstructured data.
• The role suits an engineer who understands that dependable AI begins with dependable data.

• · Work on real AI implementations for international clients.
• · Gain exposure to different industries, business functions and use cases.
• · Work directly with experienced founders and technical specialists.
• · Work remotely with flexibility and meaningful ownership.
• · Grow with a small team where strong performers can take on responsibility quickly.