Lead Data Engineer | Hybrid (London) | Up to £110K | AWS or GCP
London (Hybrid – 3 days onsite)
£90,000–£110,000
No sponsorship available
We're partnered with a rapidly scaling, VC-backed PropTech company that is transforming property management through real-time, data-driven systems.
The Role
This is a hands-on senior position at the intersection of data engineering, system architecture, and ML enablement. You'll own the technical direction of the data platform, building robust, production-grade systems that support analytics and ML-powered products.
What You'll Do
* Own the end-to-end data platform: ingestion, modelling, storage, transformation, and exposure
* Architect scalable, fault-tolerant data pipelines and distributed systems
* Design and maintain robust data models, contracts, and governance frameworks
* Enable ML-driven product features with production-ready data foundations
* Set technical standards, drive architecture decisions, and mentor engineers
* Remain hands-on, building core pipelines, schemas, and services in production
Key Requirements
* Strong proficiency in Python and SQL
* Hands-on experience with cloud data warehouses (e.g. Snowflake or equivalent)
* Experience building and orchestrating pipelines using dbt, Airflow, or similar tools
* Familiarity with modern data tooling, CI/CD, and engineering best practices
* Exposure to machine learning systems (e.g. Hugging Face, feature stores, inference pipelines)
* Experience with workflow automation platforms (e.g. n8n)
If you're a software-engineer-first data leader who values ownership, architecture, and building systems that last, this role offers genuine influence and long-term technical impact.
Interested? Please send an updated CV to
Lead Data Engineer | Hybrid (London) | Up to £110K | AWS or GCP