Data Platform Engineer

As a Data Platform Engineer, you'll work alongside senior team members to tackle complex challenges, while taking ownership of your own areas of the problem, in a fast-paced environment where no two days look the same. 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.

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

Other : Claude

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

Initial call with Talent team

Hiring manager call

Technical interview

Final interview with VP of Platform

Winning team: the opportunity to scale up one of the world’s most successful fintech companies

Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites

Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

Health coverage: support for your physical and mental wellbeing, including private health cover

Retirement & savings: long-term financial wellbeing through retirement savings plans

Employee referral programme: earn a competitive bonus when you refer successful new team members

Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations

Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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