Top Tech Jobs & Startup Jobs in London

Leads the data engineering function, including team development, technical strategy, data infrastructure scaling, and delivery roadmap ownership. Partners with product, marketing, commercial, and executive leaders to prioritize data initiatives that drive business performance. The role requires hands-on technical credibility, strong commercial judgment, stakeholder communication, and adoption of AI-led development practices.

Design conversion-focused landing pages, forms, offer pages, comparison tables, and user journeys for experimentation. Create test variants from CRO hypotheses through developer-ready designs, collaborate with CRO, creative, and development teams, maintain reusable Figma components, support rewards brands, and contribute to usability research and experiment analysis.

Own production forecasting and strategy models end to end, including data infrastructure, statistical and machine learning model selection, experimentation, evaluation, and decision-ready reporting. The role requires Python and SQL expertise, strong experiment design, and the ability to communicate complex analyses to non-technical stakeholders while collaborating with the analytics team and responsibly using AI.

Build and maintain batch and streaming data pipelines for the QiCore warehouse. Migrate acquired-business data into a unified platform and single customer view, model data for analytics, and ensure pipeline reliability, governance, testing, and quality. Monitor and resolve data issues at their root, support future acquisitions and migrations, and collaborate through code reviews in a fast-paced team environment.

Own the architecture and design standards for the QiCore data warehouse, including governance, data quality, privacy, access controls, customer identity, and retention. Lead migration of acquired businesses into a unified data model, establish repeatable integration patterns, support AI initiatives, prototype and debug pipelines, and guide data engineers. Partner with technical, analytics, commercial, security, privacy, and governance stakeholders to translate business needs into scalable data solutions.

Lead the design, implementation, and operation of Quantum’s Google Cloud platform. Responsibilities include GCP infrastructure and networking, Terraform-based infrastructure as code, CI/CD, Kubernetes, observability, security, incident response, developer self-service tooling, and platform migrations. The role also manages an infrastructure engineer, establishes platform standards, shapes the roadmap, supports regulatory compliance, and helps grow the platform team.

Partners with the CTO and Tech leadership on employee relations, performance, restructures, growth, career development, manager capability, and team culture. Handles complex cases under UK employment law, supports Tech Directors, uses people analytics to identify workforce issues, and coaches senior technical leaders. The role also develops and executes culture and development plans for a fast-growing technology organization.

Supports the management, onboarding, activation, reporting, and optimization of affiliate publishers. Monitors performance metrics such as lead volume, CPL, conversion rate, and gross profit; identifies risks and growth opportunities; assists with campaign setup, tracking QA, issue resolution, and partner outreach. Collaborates with affiliate, marketing, creative, paid media, and data teams to launch and optimize campaigns.

Business Analyst responsible for querying and analyzing Rewards and Core data using SQL, building accurate dashboards and reports, translating findings into clear business insights, and using AI tools to improve analytical workflows. The role involves independent ownership of analysis, collaboration across teams, and communicating results to non-technical stakeholders in a fast-paced environment.

Own commercial reporting and analytics for Rewards and Core data, including gross profit reconciliation, semantic layers, P&L reporting, LTV cohorts, customer views, retention economics, and CRM uplift analysis. Partner with Commercial, CRM, Finance, and senior stakeholders to turn analysis into decisions, establish reporting standards, and mentor junior analysts. Use SQL, BigQuery, Tableau, and LLM tools in an AI-native analytics workflow.