Data Engineer

Data Engineer

A rapidly scaling AI start-up is looking for a mid-level Data Engineer to join their team - building real-time decision engines that helps businesses optimise customer interactions using machine learning and automation.

This is a great opportunity for someone with strong fundamentals (Python and SQL) - ideal for someone who thrives in a start-up setting and wants real ownership.

The role

You’ll be responsible for designing, building and maintaining the data pipelines that power the company’s AI-driven products. This includes:

• Build and maintain ETL pipelines
• Write clean, efficient Python for data processing
• Develop SQL queries and transformations
• Work with data scientists to productionise models
• Improve data quality, reliability and performance
• Contribute to testing, code reviews and documentation

What we’re looking for

Must-have experience:

• 1–3 years’ experience in data engineering or software engineering
• Strong Python and SQL skills
• Understanding of ETL/ELT concepts
• Ability to explain code and talk through problem-solving
• Git experience
• Computer Science or related degree
• Personal projects or evidence of curiosity

Nice to have:

• pandas experience
• Exposure to Azure or AWS
• Basic Docker or DevOps knowledge
• Interest in AI/ML
• Experience with streaming tools (Kafka, RabbitMQ)

Hybrid working – 3 days per week in a central London office (Tues - Thurs)

If you’re excited by the idea of building the data foundations of next-generation AI products — even if you don’t tick every box — we’d love to hear from you.