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Senior Data Engineer - £95K - Westminister (In Office)
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Senior Data Engineer - £95K - Westminister (In Office)
Senior Data Engineer – AI-Driven Infrastructure & Platforms
Our Client is pioneering the operating system for a significant, traditionally under-digitised sector within the UK services industry. By automating operational administration—such as managing communications, compliance, coordination, and scheduling—their AI platform liberates operators from repetitive tasks, enabling them to regain time.
Already operational with pilot customers overseeing over 14,000 units, the platform demonstrates strong early adoption as it scales toward revenue by 2026. Fuelled by experienced leadership and investors, the ambition is to establish itself as the defining AI platform in its category.
The Role
As the first senior data hire, you will architect and scale the systems underpinning our client’s AI products. This spans real-time pipelines, analytics infrastructure, vector databases, and machine learning data workflows. Your responsibilities will include defining data architecture, tooling, and technical standards while collaborating closely with AI and backend engineers. This role will lay the foundations for the future of data, preparing the platform for exponential growth.
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Key Responsibilities
- Architect and develop scalable data pipelines and infrastructure for AI and product systems
- Design data ingestion, transformation, and storage architectures
- Build batch and real-time pipelines, including vector search/retrieval systems for ML workflows
- Own data reliability, security, governance, and observability
- Develop and shape long-term data strategy while mentoring the team as we scale
Who We're Looking For
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- 7+ years’ experience in data engineering or backend roles
- Strong proficiency in Python with experience in distributed data systems
- Hands-on experience with relational databases (PostgreSQL preferred)
- Exposure to NoSQL technologies
- Familiarity with vector databases (Qdrant, Milvus, pg vector), ideally hands-on
- Bonus skills:
- Experience with Spark, Airflow, Kafka
- Cloud expertise (GCP, AWS, Azure)
- Background in AI/ML platforms
- Startup ecosystem experience
Why This Opportunity Excites
- Shape the digital future: Build the data foundation for a category-defining AI company
- Collaborate at the top: Work closely with founders and core engineering teams
- Early-stage ownership: Leadership role with unparalleled influence and equity potential
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