Senior Data Engineer
Senior Data Engineer
AI SaaS | Data as a Product | London (Hybrid)
This is a brilliant opportunity for someone who loves solving problems at the intersection of data and product and wants real ownership in a fast-scaling company.
I'm partnering with a high-growth SaaS business with a standout product and serious traction. They're already profitable, backed by strong investors, and scaling quickly to meet demand. This is your chance to get in early.
Here, data isn't a support function, it's the product.
You'll help complex organisations implement and expand a platform that's reshaping how the industry operates through advanced analytics and AI to drive real-time decision-making.
You'll be:
- Building and optimising scalable data pipelines
- Integrating complex systems
- Turning messy, real-world problems into clean technical solutions.
- Contributing to new features as the platform evolves
They're building a small, elite engineering team in London and are looking for engineers who want visible impact.
This is not another dashboard product or incremental feature work, and it's not a company where engineering sits in the background.
Engineers here:
- Build mission-critical systems used by C-suite leaders
- Solve complex data challenges
- Develop AI-enabled workflows in production
- Take ownership from design through to deployment
- See their work influence major organisations
Requirements:
- Strong Python and data fundamentals
- Experience working with data pipelines or distributed systems
- Experience in data, analytics engineering, platform engineering or technical consultancy
- Experience with modern data tooling such as Databricks, Snowflake, DBT, and Airflow.
Why now?
The company is scaling rapidly across industries.
Join now and you'll:
- Shape how the platform evolves
- Learn directly from senior technical and business leaders
- Take on real responsibility and have meaningul progression
If you're excited by data, product, real-world impact and want to accelerate your career, then apply below.