Lead Data Engineer | AI-Native Startup | BerlinLocation: Berlin (On-site)Employment: Full-timePackage: Competitive salary + EquityAI Futures has been exclusively retained to identify a Lead Data Engineer for a well-funded, early-stage AI startup based in Berlin.The company is building an enterprise AI platform and is looking for an experienced engineer to take ownership of the data architecture and infrastructure underpinning the product.This is a highly hands-on position. You'll set technical direction, make important architectural decisions and build the systems yourself, working closely with the founding and engineering teams as the company scales.The OpportunityData sits at the centre of the product.You'll be responsible for building the infrastructure that takes complex enterprise data from multiple systems and turns it into something reliable, scalable and genuinely useful within the product.The role spans data architecture, integrations, pipelines, modelling and platform engineering, with significant freedom over how these systems are designed.What You'll Be DoingOwn and develop the company's core data platform and architecture.Design scalable systems capable of supporting multiple enterprise customers.Build robust data ingestion and transformation pipelines.Develop data models that support complex analytical workloads.Work with large, messy enterprise datasets and turn them into reliable structured data.Build integrations with external enterprise systems and APIs.Design for data isolation, permissions, reliability and scalability.Improve orchestration, monitoring and recovery across the data platform.Optimise data processing and query performance.Work directly with customer technical teams when solving integration challenges.Establish engineering standards and best practices as the platform grows.Use modern AI engineering tools to improve development speed and automation.Remain highly hands-on while providing technical leadership to other engineers.Who We're Looking ForSignificant experience building production data systems.Strong Python and SQL.Strong knowledge of data modelling and query optimisation.Experience designing and owning data architecture.Experience building data pipelines, ingestion and orchestration systems.Understanding of multi-tenant architecture, data isolation and access controls.Experience integrating complex external or enterprise systems.Comfortable working with APIs, schemas, permissions and synchronisation.Strong software engineering fundamentals alongside data expertise.Ability to make pragmatic architectural decisions in a fast-moving environment.Comfortable owning problems from initial design through to production.Strong communication skills and ability to work directly with technical customers.Previous experience within B2B SaaS, enterprise software or another data-intensive product environment is highly desirable.Startup, founding or early-stage experience is particularly interesting.Why Join?Take ownership of a core technical platform within an early-stage AI company.Work directly with the founding team.Build the data architecture from an early stage rather than inheriting a mature platform.Significant influence over technical direction and engineering standards.Solve genuinely difficult enterprise data and scalability problems.Stay deeply hands-on while taking on technical leadership.Help shape and grow the engineering team.Work within an AI-native engineering environment.Meaningful equity participation and long-term upside.Significant scope for your responsibilities to grow alongside the company.This is particularly suited to a Senior / Lead Data Engineer who wants more than maintaining established pipelines, someone who wants to own the architecture, build the foundations and have a real say in how a startup scales.If you've built complex production data platforms and want significantly more technical ownership, please apply for a confidential discussion.AI Futures Ltd | Filling the AI Skills Gap®

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Lead Data Architect