Data Platform Engineer

Lendablewinning
London, UK
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

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
+5 more
Snowflake Kubernetes Hashicorp Apache Kafka Terraform

Job 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

Requirements

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

About the company

decisions that drive a material impact on the direction and success of Lendable from day 1Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingABOUT THE ROLEAs 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

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