Senior Data Engineer

Salary: £80,000 - 80,000 per year

Requirements:

• Strong Python and SQL expertise gained within large scale production environments
• Experience delivering complex data transformation projects end to end
• Experience with Spark, Snowflake, BigQuery or similar technologies
• Exposure to cloud environments such as AWS, GCP or Azure
• Comfortable working with large, messy and evolving datasets
• Experience taking ownership of pipelines and data engineering solutions from design through to deployment
• A collaborative approach with experience mentoring or supporting other engineers

Responsibilities:

• Design, build and maintain scalable data pipelines
• Own data pipelines from source through to production
• Work with messy, incomplete and complex datasets to create clean, reliable outputs
• Improve data quality, performance and reliability as the platform scales
• Collaborate closely with product, analytics and machine learning teams
• Contribute to code reviews, engineering standards and best practice
• Support and mentor other engineers within the team

Technologies:

• AI
• AWS
• Azure
• BigQuery
• Cloud
• GCP
• Support
• Machine Learning
• Python
• SQL
• Snowflake
• Spark

More:

We are a growing AI SaaS business based in London, where data is at the core of everything we build. We offer a hybrid working model, requiring 3 days in the office each week. Our team is supportive, collaborative, and values diverse perspectives, allowing our engineers the space to contribute ideas, challenge thinking, and genuinely impact the direction of our platform. If you enjoy building data foundations behind AI products and want to make a real impact, this is an excellent fit for you.

last updated 33 week of 2026