Senior Data Engineer - £95K - Victoria (In Office)

WunderTalent
London, UK
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
£95,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Automated Storage and Retrieval Systems Microsoft Azure Cloud Computing Data Architecture Information Engineering Data Integrity Relational Databases Distributed Data Store Python (Programming Language)
+13 more
PostgreSQL Microsoft Office Azure Machine Learning Search Technologies Data Ingestion Apache Spark Backend Data Strategy AI Platforms Storage Technologies Apache Kafka Machine Learning Operations Data Pipelines

Job description

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 te 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

Requirements

  • 7+ years in data engineering or backend roles
  • Strong Python; experience with distributed data systems
  • Relational DB experience (PostgreSQL preferred)
  • NoSQLExposure to vector databases (Qdrant, Milvus, pg vector)
  • Bonus: Spark/Airflow/Kafka, cloud (GCP/AWS/Azure), AI/ML platform experience, early-stage startup background

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Extensibility and programmability features of the PostgreSQL database

Silvano Coriani Silvano Coriani · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

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Balancing data science skillings alongside systems engineering rigor

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