Head of Data Engineering - London (Hybrid)
You will work with Python, dbt, Airflow, and AWS to architect and build a modern data platform from scratch for a fast-growing PropTech business. You will set engineering standards, define the long-term data strategy, and partner with senior stakeholders to embed data into commercial decisions. Future hiring is planned to establish and lead your own team as the platform matures.
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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
Salary: Up to £125,000 + strong benefits
Location: Central London (hybrid – 3 days onsite)
Must be UK-based (no sponsorship available)
Head of Data Engineering – London (Hybrid) | Python, dbt, Airflow, AWS