Lead Data Engineer

Salary: £95,000 - 95,000 per year

Requirements:

• Strong experience with Python and SQL
• Experience building modern data platforms on Azure, AWS, or GCP
• Strong ETL and ELT engineering experience
• Experience with data modelling and data warehousing
• Experience with CI/CD, Git, and engineering best practice
• Previous experience leading, mentoring, or developing engineers

Responsibilities:

• Lead, mentor, and grow a team of Data Engineers
• Design and build scalable data pipelines and cloud-based data platforms
• Develop robust ETL and ELT solutions using Python and SQL
• Define engineering standards, data models, and best practice
• Drive CI/CD, automation, and modern engineering practices
• Collaborate with AI engineers to productionise machine learning and AI solutions
• Explore how AI can enhance engineering productivity, quality, and delivery

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• ETL
• GCP
• Git
• Machine Learning
• Python
• SQL

More:

We are a fast-growing AI SaaS business where Data Engineering sits at the heart of our platform. This is a hybrid role based in London, with Monday to Thursday in the office and Friday working from home. We offer a salary of £85,000-£95,000 depending on experience. You will join us at a pivotal stage of our growth, with the opportunity to shape and scale our Data Engineering function, influence technical direction, and grow into a future Head of Data Engineering role as the team expands. We provide a supportive environment where ideas are valued and learning is encouraged, and you will work alongside experienced engineers, architects, and AI specialists on innovative AI and data products that solve real business challenges.

last updated 30 week of 2026