Senior Data Platform Engineer

  • London, UK
  • Full Time (Permanent)
  • Hybrid
  • Data Platform
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About the role

As a Senior Data Platform Engineer, you’ll own projects end-to-end, from problem definition through to delivery and iteration. The role is fundamentally about problem solving: understanding business challenges, breaking them down, and delivering pragmatic, scalable solutions.

You’ll work closely with product, analytics, and engineering teams, operating with a high degree of autonomy. That means proactively gathering context, aligning stakeholders, and ensuring work lands effectively.

Data Platform sits at the centre of the business, with a real opportunity to shape how teams interact with data. The focus is on enabling fast, iterative analytics, moving from idea to insight quickly, while maintaining strong foundations around reliability, cost, and security.

Our Modern Tech Stack

You’ll work across a broad set of technologies as we evolve the platform. Experience is helpful, but not essential:

  • Languages: Python, SQL, Terragrunt, JavaScript

  • Cloud: AWS (primary), some GCP

  • Warehouse & Storage: Snowflake, S3/Parquet

  • Data & ETL: dbt, Fivetran

  • Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault

  • Observability: Datadog, Grafana

  • Dashboarding: Preset

What we’re looking for

Strong fundamentals and the ability to apply them pragmatically:

  • Solid programming ability (Python or similar)

  • Strong experience with Snowflake (or similar warehouses)

  • Good understanding of software engineering patterns and architectures

  • Experience building data-intensive systems

  • Cloud experience (AWS preferred)

  • Infrastructure as code (Terraform ideally)

  • CI/CD best practices

  • Familiarity with modern data architectures (Lambda/Kappa)

Just as importantly, how you work:

  • A self-starter who takes ownership and drives work forward

  • Strong problem solver who focuses on understanding before building

  • Good judgement on build vs buy decisions

  • Comfortable working in ambiguity and shaping direction

  • Clear communicator across technical and non-technical audiences

  • Able to manage multiple streams of work without losing momentum

  • Pragmatic, balancing speed with scalability and reliability

  • Actively looks to improve ways of working, including leveraging AI tooling

Interview process

  • Initial call with Talent team

  • Take-home technical task

  • Technical interview

  • Final interview with VP of Platform

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