Top Tech Jobs & Startup Jobs in London

Entry-level analytics role supporting commercial decisions: build and maintain Tableau dashboards, pull and clean data from BigQuery and GA4, run acquisition/conversion/retention analyses, and communicate clear findings to commercial, marketing, and product teams while learning the full data stack.

Plan, launch and optimise paid social acquisition campaigns across Meta, Snapchat, TikTok and emerging platforms. Manage budgets, bidding, audiences and creative testing to meet ROAS/CPL targets. Collaborate with Creative, Data, CRO and Product teams to improve ad-to-conversion journeys, implement tracking/QA, run high-velocity experiments, and report actionable insights. Leverage AI and platform automation to scale performance.

The Paid Social Lead will develop and execute social media strategies, manage budgets, optimize campaigns, and lead a team to drive revenue and ROI.

The Performance Marketing Specialist will manage and optimize paid acquisition campaigns across Paid Social and Native channels, focusing on driving traffic and improving conversion quality while collaborating with various teams.

Prepare management accounts and month-end reporting across multiple entities, own balance sheet reconciliations, investigate variances, build and automate reporting and controls, support budgeting/forecasting/cashflow, and act as a trusted finance contact while reducing key person dependency.

Join the Finance team to process member payments, own reconciliations, support month-end reporting, assist AR/AP, investigate discrepancies, and improve finance processes and automation.

The Senior Data Engineer will design and build a scalable real-time data backbone, focusing on data pipelines, integration, and collaboration with teams to support analytics and business objectives.

Lead full‑stack development across frontend and backend systems, shape architecture for scalability and security, mentor engineers, build responsive interfaces (Next.js/React), and implement APIs, testing, CI/CD, and containerisation.

Support the CRM Technical Manager and team to deliver automated, data-driven email, SMS and messaging campaigns. Responsibilities include troubleshooting journeys and HTML rendering, managing automations and integrations, QA and data quality, IP warm-ups and deliverability, building HTML modules, monitoring campaigns, handling Jira tickets, and working cross-functionally with Analytics, Product and Tech.

Lead and grow the data engineering and ML teams, own technical strategy and delivery for data infrastructure and model estate, translate business goals into scalable data and ML solutions, partner with product/marketing/commercial leadership, hire and develop engineers, and drive adoption of AI-led development while remaining hands-on.