Staff Data Engineer, Group Tech Lead

We’re looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Group’s Tech Lead, you’ll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonade’s data ecosystem.The group’s mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.In this role you’ll Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platform’s three teamsDesign and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insightsDrive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performanceDevelop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insightsBuild and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutionsCollaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategiesWork seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutionsShare knowledge, mentor team members, and champion engineering standards and technical excellence across the organizationWhat You’ll Need8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areasA B.Sc. in Computer Science or a related technical field (or equivalent experience)Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutionsProven experience in building large-scale data infrastructures, including both batch processing and streaming pipelinesA deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantageProficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutionsStrong knowledge of databases, including SQL (schema design, query optimization) and NoSQL, with a solid understanding of their use casesAbility to work in an office environment a minimum of 3 days a weekEnthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture

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