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# Data Platform Engineer

- **Company:** Lendablewinning
- **Location:** London, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), Github, Python (Programming Language), RabbitMQ, Software Engineering, SQL Databases, Datadog, Snowflake, Kubernetes, Hashicorp, Apache Kafka, Terraform
- **Published:** September 7, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-platform-engineer/46389081

## About the Role

practicesFamiliarity with modern data architectures (Lambda/Kappa)Just as importantly, how you work:A self-starter who takes ownership and drives work forwardStrong problem solver who focuses on understanding before buildingGood judgement on build vs buy decisionsComfortable working in ambiguity and shaping directionClear communicator across technical and non-technical audiencesAble to manage multiple streams of work without losing momentumPragmatic, balancing speed with scalability and reliabilityActively looks to improve ways of working, including leveraging AI toolingINTERVIEW PROCESSInitial call with Talent teamHiring manager callTechnical interviewFinal interview with VP of PlatformLIFE AT LENDABLEWinning team: the opportunity to scale up one of the world's most successful fintech companiesFlexible 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-sitesSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office wallsHealth coverage: support for your physical and mental wellbeing, including private health coverRetirement & savings: long-term financial wellbeing through retirement savings plansEmployee referral programme: earn a competitive bonus when you refer successful new team membersOffice meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locationsSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locationsPlease note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.Check out our blog #J-18808-Ljbffr

## Description

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 TEOUR MODERN TEOur Modern Tech Stack: Experience is helpful, but not essential:Languages: Python, SQL, Terragrunt, JavaScriptCloud: AWS (primary), some GCPWarehouse & Storage: Snowflake, S3/ParquetData & ETL: dbt, FivetranPlatform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp VaultObservability: Datadog, GrafanaDashboarding: PresetOther: ClaudeWHAT WE'RE LOOKING FORStrong 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 architecturesExperience building data-intensive systemsCloud experience (AWS preferred)Infrastructure as code (Terraform ideally)CI/CD best


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