Senior Data Engineer ML and AI Platform

Position: Senior Data Engineer - (ML and AI Platform) (Permanent)
Senior Data Engineer (ML and AI Platform) Location | London with hybrid working Monday to Wednesday in the office Salary | £70,000 to £85,000 depending on experience Reference | J13026 An AI first SaaS business that transforms high quality first party data into trusted, decision ready insight at scale is looking for a Senior Data Engineer to join its growing data and engineering team.

The role focuses on designing and building clear, reliable data solutions using Python and SQL within a modern data and AI platform. You will work in a collaborative and supportive environment where data engineers, product teams, and data scientists partner closely to deliver robust, real world solutions that are used and trusted across the business. Why join
· A supportive and inclusive culture where different perspectives are welcomed and people are encouraged to contribute and be heard
· Clear progression with space to grow your skills and confidence at a sustainable pace
· A working environment where collaboration, learning, and thoughtful engineering are genuinely prioritised
· A team that values good communication, shared ownership, and balance What you will be doing
· Contributing to the design and delivery of cloud based data and machine learning pipelines
· Writing clear, maintainable Python, PySpark, and SQL to transform and prepare data
· Helping shape scalable data models that support analytics, machine learning, and product development
· Working closely with Product, Engineering, and Data Science colleagues to deliver high quality production outcomes
· Playing an active role in improving data reliability, clarity, and long term platform health What we are looking for
· Experience using Python for data transformation, ideally with exposure to Py Spark  
· Confidence working with SQL and production data models, with an emphasis on clarity and reliability
· Experience working with at least one modern cloud data platform such as GCP, AWS, Azure, Snowflake, or Databricks
· Experience contributing to data pipelines that run reliably in live production environments
· A collaborative mindset with clear, thoughtful communication and a willingness to learn from others You may not meet every requirement listed. What matters most for this role is experience using Python and SQL to transform large, real world datasets from multiple sources in a production environment. If this feels like a good next step and the work interests you, we would love to hear from you.

Right to work in the UK is required. Sponsorship is not available now or in the future. Apply to learn more and explore whether this could be the right move for you. If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme.

Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed)