Senior Data Engineer

Senior Data Platform Engineer | Data Platform | Python | Databricks

Location: UK Remote

Salary: Up to £100,000 + 10% Bonus + Equity

Python | Databricks | Airflow | dbt | AWS | Data Platform | Kafka | Spark | Terraform

I'm currently looking for a Senior Data Platform Engineer to join a global consumer technology marketplace used by millions of customers around the world.

This is an opportunity to join a modern engineering organisation that's investing heavily in its data platform, enabling engineering, analytics and machine learning teams to build, discover and manage data at scale.

You'll help shape the next generation of the company's data platform, building self-service capabilities, improving developer experience, and treating data as a product. If you enjoy solving complex platform problems and building tooling that empowers other engineers, this is a fantastic opportunity.

ROLE: Senior Data Platform Engineer (Data Platform | Platform Engineering | Software Engineering | Technical Leadership)

We're looking for experienced Data Platform Engineers who enjoy building the infrastructure, tooling and services that power modern data organisations.

This is a highly hands-on senior engineering role where you'll own key areas of the platform, influence technical direction, and work closely with Data Engineering, ML Engineering, Analytics, Platform Engineering and Product teams to deliver scalable, reliable data capabilities.

You'll architect and evolve core platform services, improve observability and governance, drive automation across the platform, and help establish engineering best practices as the business continues to scale.

What You'll Bring

• Strong Python (or Scala) engineering experience with excellent software engineering fundamentals
• Hands-on experience with modern data platforms including Databricks, Airflow and dbt
• Strong cloud experience (AWS preferred, GCP/Azure also considered)
• Experience building and scaling production-grade data platforms and backend infrastructure
• Knowledge of modern data architectures including Data Lakes, batch & streaming pipelines, and self-service platforms
• Experience with technologies such as Kafka, Spark, Delta Lake, Iceberg or similar would be highly beneficial
• Infrastructure as Code and platform automation experience (Terraform, Docker, Kubernetes, CI/CD)
• Strong stakeholder management skills with the ability to influence engineering teams and technical strategy
• Passion for platform engineering, developer experience, automation, observability and building systems that enable others to move faster

Apply now to help build the data platform powering one of the world's leading consumer technology businesses, working on modern technologies alongside exceptional engineering teams.