Head of Data Engineering – London (Hybrid) | Python, dbt, Airflow, AWS
We’re once again supporting a fast-growing PropTech business as they enter a pivotal phase, transforming how data drives decisions across the entire organisation. They’re now hiring a Head of Data Engineering to lead that transformation
This is a role with genuine ownership. You won’t inherit legacy systems or patchwork pipelines – you’ll design and build a modern data platform from scratch, set engineering standards, and define the long‑term data strategy as the company scales.
What you’ll take on
- Architect, deliver, and evolve a next‑generation data platform
- Partner with senior stakeholders to embed data into core commercial and operational decisions
- Build robust, scalable pipelines and cloud infrastructure using a modern engineering stack
- Establish the foundations for a future data function, with hiring planned as the platform matures
Core technical environment
- SQL & Python for processing, transformation, and automation
- dbt, Airflow, Looker for modelling, orchestration, and analytics
- AWS as the primary cloud environment (GCP exposure beneficial)
- Snowflake or equivalent warehousing technologies
Why this role is different
- High autonomy: You’ll own the platform, the roadmap, and the engineering direction
- Early‑stage influence: Shape how data is used across the entire organisation
- Clear progression: Build and lead your own team as the function scales
Location
Central London (hybrid – 3 days onsite)
UK‑based requirement
Must be UK-based (no sponsorship available)
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