Senior Data Platform Engineer

Senior Data Platform Engineer

Hybrid London (3 days per week)

Up to £95,000 + Benefits

Are you an experienced Data Engineer ready to take ownership of a cutting-edge cloud data platform? We're partnering with a high-growth fintech company that's transforming how analytics powers decision-making - and they're looking for a Senior Data Platform Engineer to help design, scale, and optimise their AWS and Snowflake-based infrastructure.

Why this role?

• Join one of the UK's fastest-growing fintechs, where data is at the heart of every decision.

• Work with a modern stack - AWS, Snowflake, Python, Terraform, CI/CD, and Fivetran.

• Shape the future of a scalable, secure, and cost-efficient data platform used across the business.

• Hybrid working: 3 days a week in the London office, combining collaboration with flexibility.

What you'll be doing:

• Designing, building, and evolving data infrastructure across AWS and Snowflake.

• Developing tooling and automation to improve analytics efficiency.

• Onboarding new data sources and ensuring smooth, reliable ingestion and processing.

• Implementing monitoring, testing, and observability to guarantee platform robustness.

• Driving improvements in CI/CD pipelines for faster, more reliable deployments.

• Managing infrastructure as code with Terraform, ensuring security and compliance.

• Collaborating with analysts, engineers, and business teams to turn data into action.

• Troubleshooting production issues and continuously improving performance and cost efficiency.

What we're looking for:

• Strong software engineering background - ideally with Python or similar languages.

• Proven experience working with AWS and Snowflake in production environments.

• Solid grasp of data engineering best practices - testing, deployment, and configuration as code.

• Experience developing containerised services and cloud-based data applications.

• Proficiency in Terraform or other IaC tools.

• Familiarity with CI/CD pipelines (GitHub Actions preferred).

• Excellent communicator - able to work closely with technical and business stakeholders.

Nice-to-haves:

• Experience with Kubernetes, Airflow/Prefect, or data observability tools (Monte Carlo, Great Expectations).

• Exposure to data cataloguing tools (Amundsen, OpenMetadata).

Package & Benefits:

• Salary up to £95,000, depending on experience.

• Hybrid working - 3 days per week in the London office.