Founding Data Platform Engineer

want important insights to surface automatically, reach the right person or agent at the right moment, and initiate the appropriate next step.We already have growing customers. Their expanding needs are creating increasingly complex technical challenges and an opportunity to define how the next generation of intelligent systems works with enterprise data.Now we’re looking for someone to help us build the foundation beneath it all.This is where you come inWe’re looking for an exceptional Founding Data Platform Engineer who has built serious data infrastructure before and wants to do it again, this time with the opportunity to shape the platform from an early stage.You’ll encounter databases containing hundreds of tables, inconsistent definitions, changing schemas and information spread across tools that were never designed to work together.Your challenge will be to turn that complexity into a platform that is reliable, secure and simple to build upon.You won’t be maintaining a finished

architecture. You’ll help decide what that architecture becomes.Working with the founders, you’ll influence our company’s technical direction, engineering standards and approach to some of the hardest problems at the intersection of data and AI.What you’ll buildYou’ll help us:Design and scale the core data platformConnect databases, warehouses and third-party business systemsBuild reliable ingestion and integration infrastructureReconcile and unify data from multiple, heterogeneous sourcesDevelop flexible ways to model and interpret unfamiliar dataShape the semantic models and ontologies that give business data consistent meaningDesign reliable, observable orchestration for complex data workflowsEstablish strong foundations for data quality, lineage and observabilityEmbed permissions, governance and security into the platform from the beginningBuild infrastructure that intelligent, autonomous software agents can use reliablySome problems will require careful, long-term architectural thinking. Others will need a pragmatic solution shipped by the end of the week. Knowing which is which will be an important part of the role.Who we’re looking forWe’re looking for a Founding Data Platform Engineer with deep experience building complex data systems.You’ll likely bring:Experience building production-grade data platforms or infrastructureStrong software engineering and system-design fundamentalsHigh proficiency in Python or another relevant programming languageA deep understanding of data pipelines, databases and warehousesExperience reconciling data from multiple, heterogeneous sourcesHands-on experience with orchestration and transformation tools such as Airflow, Dagster or dbtFamiliarity with columnar data systems such as ClickHouse or DuckDBExperience with distributed systems and third-party integrationsA pragmatic mindset and a strong bias towards shippingExperience with semantic models, ontologies or knowledge graphs would be a bonus.You don’t need to meet all the requirements. We care more about what you’ve built, how you think and the level of responsibility you’re ready to take on.The role is based in London but we will be happy to sponsor visa and support relocation if you need it.Why this roleWe’ve already attracted an exciting group of customers. Now we want to exceed their expectations and build the next stage of the platform alongside them and you.You’ll join a founder-led, fast-paced environment with minimal bureaucracy. You’ll have the freedom, responsibility and support to turn ambitious ideas into working products.You’ll work closely with customers, see the impact of what you build and have a genuine voice in the direction of both the platform and the company.If we succeed, the infrastructure you help create won’t simply organise business data. It will become the foundation intelligent software relies on to understand organisations and act on their behalf. #J-18808-Ljbffr

We’re a well-funded, fast-growing data intelligence startup based in London backed by leading venture investors.The problemEvery growing company eventually reaches the same point: its data is everywhere.Customer information lives in one system. Revenue data sits in another. Product activity, operations and finance each tell a different part of the story.Answering a seemingly simple question often means searching through dashboards, writing queries or waiting for someone to bring the numbers together.We’re building a better way.We’re building a data intelligence platform for a world in which AI agents, not just people, need to understand and use business information.Our platform connects fragmented data across an organisation, identifies what is happening in real time and explains the factors driving change. It gives agents the context they need to provide reliable answers and take meaningful action.Our ambition is to move beyond software that waits for someone to ask a question. We