At a Glance
- Tasks: Architect and build scalable data pipelines for cutting-edge AI products.
- Company: Join a pioneering AI company transforming the UK services industry.
- Benefits: Competitive salary, equity opportunities, and direct collaboration with founders.
- Other info: Be part of an innovative team with early-stage ownership and influence.
- Why this job: Shape the future of AI while making a real impact in a growing startup.
- Qualifications: 7 years in data engineering, strong Python skills, and experience with distributed systems.
The predicted salary is between 80000 - 100000 £ per year.
Our Client is building the operating system for a large, traditionally under-digitised UK services industry. Their AI platform automates the repetitive operational admin that eats up the majority of operators' time: managing communications, compliance, coordination, and scheduling. We're already live with pilot customers managing over 14,000 units, with strong early demand as we scale toward revenue in 2026. Backed by experienced founders and investors, we're building toward a clear goal: the defining AI platform in our category.
As the first senior data hire, you'll architect and scale the systems powering our client's AI products: from real-time pipelines and analytics infrastructure to vector databases and ML data workflows. You'll define data architecture, tooling, and engineering standards, working closely with AI and backend engineers, and lay the foundations for the future data team.
Duties
- Architect and build scalable data pipelines and infrastructure for AI and product systems
- Design data ingestion, transformation, and storage architectures
- Build batch and real-time pipelines, plus vector search/retrieval systems for ML workflows
- Own data reliability, security, governance, and observability
- Shape long-term data strategy and mentor the team as we scale
What You'll Bring
- 7 years in data engineering or backend roles
- Strong Python; experience with distributed data systems
- Relational DB experience (PostgreSQL preferred)
- NoSQL
- Exposure to vector databases (Qdrant, Milvus, pg vector)
- Bonus: Spark/Airflow/Kafka, cloud (GCP/AWS/Azure), AI/ML platform experience, early-stage startup background
Why Join
- Build the data foundations of a category-defining AI company
- Work directly with founders and the core engineering team
- Early-stage ownership, influence, and equity upside
Locations
Senior Data Engineer - £95K - Victoria (In Office) in City of London, London employer: WUNDERTALENT
Join a pioneering company at the forefront of transforming the UK services industry through innovative AI solutions. As a Senior Data Engineer, you'll not only architect scalable data systems but also play a crucial role in shaping the future of our data strategy while enjoying a collaborative work culture that values your input and fosters professional growth. Located in Victoria, you'll benefit from a vibrant environment with direct access to experienced founders and a team dedicated to making a meaningful impact.
