Top Tech Jobs & Startup Jobs in London

Lead design and ownership of scalable dbt/Snowflake data models and BI exposures, set standards and trust infrastructure (testing, contracts, observability), review AI-assisted SQL, mentor engineers, integrate third-party data, and enable stakeholders with reliable analytics.

Lead Zego's complaints function across Customer Support, FOS Complaints, and Claims. Own regulatory compliance (DISP, Consumer Duty), RCA/MI, quality, governance, and team leadership to improve outcomes and reporting.

The Senior iOS Engineer will develop and enhance iOS applications and a Mobile SDK, ensuring a premier user experience while mentoring peers and setting technical direction.

Lead and mentor engineering teams, design and build Python microservices, ensure system resilience and scalability, and improve CI/CD processes.

The role involves developing, testing, and deploying Python microservices, solving complex technical problems, and contributing to architectural decisions. Engineers will work with a product team and ensure code quality through reviews and testing, while continuously learning and improving practices.

As a Backend Engineer, you will build and maintain backend services, write maintainable code, review peers' work, and learn from experienced engineers while leveraging AI tools.

Build, maintain and improve scalable ETL/ELT pipelines, data warehouses and streaming systems. Ensure data modelling meets analytics and data science needs, uphold data engineering best practices (testing, CI/CD, observability, IaC), and collaborate across teams to deliver the technical roadmap and platform improvements.

Lead and grow the telematics data science team, define technical roadmap, and develop novel ML and signal-processing models (on-device and cloud) to predict driving behaviour, crashes, and risk. Integrate telematics with pricing and products, measure real-world model impact, ensure fairness in pricing, and represent telematics science to senior leadership and partners.

Design and build reliable data models and exposures using dbt and Snowflake, leveraging AI-assisted workflows. Own data quality, tests, contracts, and observability. Integrate third-party sources, create secure data shares, enable stakeholders with self-service BI, and continuously improve platform tooling and AI-driven processes.

Lead one or two engineering teams, ensuring operational excellence, influencing architecture, mentoring engineers, and collaborating with cross-functional teams to support company growth.