Senior Data Engineer
Senior Data Engineer
Salary: £95,000
Location: Remote First (London Office)
Join a team where data engineering isn't just support, it's the engine. Build the models and pipelines that fuel innovation, accelerate growth, and elevate how the whole company thinks about data.
The Opportunity
This opportunity puts you at the centre of shaping the company's data landscape, giving you the ability to influence how teams access, understand, and trust their data. You'll take ownership of high-impact initiatives that drive better decision-making and unlock meaningful insights across the business.
As a senior contributor, you'll help define the long-term vision for data, ensuring it grows in a scalable, reliable, and forward-thinking direction. You'll mentor and support other engineers, fostering a culture of collaboration, learning, and empowerment. Ultimately, this role offers the chance to make a visible, lasting mark by elevating the organisation's data capabilities and enabling teams to work smarter and more independently.
The Role & Responsibilities
A Senior Data Engineer is responsible for designing and maintaining high-quality, production-ready data pipelines that serve a variety of internal teams. They build and optimise central data models that support analytics, machine learning, and operational use cases. The role involves working with modern data stack technologies such as Databricks, AWS, dbt, Airflow, and Looker.
They lead complex technical initiatives, improve engineering efficiency through better CI/CD, observability, and tooling, and ensure data reliability at scale. Senior Data Engineers also mentor junior engineers and help promote a strong, collaborative, self-service data culture.
Interview Process
- Introductory Conversation - 1 Hour
- Pair Programming -1 Hour
- Code Based Task - 1 Hour
- Culture Fit
Join as a Senior Data Engineer to build robust data pipelines, shape high-quality models with modern tech, and lead impactful engineering initiatives that empower data-driven decision-making, apply now.