Staff Data Engineer (GCP + dbt)
Staff Data Engineer
Hybrid - 2 days per week in London
We’re working with a fast-growing business scaling its data function as part of a wider transformation. They operate in a product-led environment and are investing heavily in their data platform to drive better decision-making across the business.
The Role
You’ll play a key role in designing, building, and scaling a cloud-based data platform, enabling teams across the business to make data-driven decisions.
This is a hands-on senior role with ownership across data pipelines, modelling, and platform performance, while also supporting more junior engineers.
The team is evolving towards a GCP-first stack (BigQuery) over the next 12–18 months.
Key Responsibilities
- Build and maintain scalable data pipelines (ETL/ELT)
- Develop and optimise data models
- Own data quality and platform performance
- Partner with stakeholders across product, marketing, and commercial teams
- Drive improvements to the data platform
- Support and mentor junior engineers
What They’re Looking For
- Strong SQL (complex queries, optimisation)
- Experience with tools like DBT, Dataflow, ADF, Fivetran, Databricks
- Solid data warehousing and modelling experience
- Cloud experience (GCP)
- Experience with Git / version control
Nice to have:
- Python
- API integrations
- BI tools (Power BI, Tableau, Qlik)
- Agile/SCRUM experience
Package & Benefits
- Competitive salary + discretionary bonus
- Hybrid working + “work from anywhere” flexibility (up to 30 days per year)
- £300 home office allowance
- Private medical insurance + critical illness cover
- Pension contribution (3–5% employer)
- 25 days holiday (rising to 30) + 2 additional personal days
- Strong parental leave policies (enhanced maternity, paternity, shared parental)
- Learning & development support and training budget
- Electric vehicle + cycle to work schemes
- Employee wellbeing support, discounts, and regular company events
Why Join
You’ll be joining a high-growth business where you’ll have real ownership in shaping a modern data platform, with strong backing and clear direction.