Top Tech Jobs & Startup Jobs

Investigate transaction-monitoring alerts and suspicious activity related to money laundering, fraud, sanctions, and terrorist financing. Prepare SARs, conduct KYC and enhanced due diligence, screen PEPs and sanctions, assess adverse media, identify unusual customer behavior, respond to law-enforcement enquiries, and advise stakeholders on financial-crime prevention while meeting regulatory and GDPR requirements.

Leads a large data engineering organization, including multiple engineering managers and approximately 40 engineers and analysts. Sets data engineering strategy, oversees cloud adoption and platform modernization, and delivers secure, scalable data products. Develops engineering leaders, manages technical debt and roadmaps, promotes modern engineering practices, and partners with product, architecture, technology, and business stakeholders to align data capabilities with organizational goals.

Lead the product strategy and vision for Very’s onboarding, checkout, and My Account journeys across app and website. Manage and develop Product Leaders, align Product, Technology, UX, Analytics, Commercial, and Trading teams, and use customer research, experimentation, analytics, AI, and commercial insight to improve customer experience, conversion, and revenue. Present investment cases and influence senior leadership.

Manage and optimize paid social campaigns across Meta, Pinterest, TikTok, and YouTube to drive profitable customer acquisition and sales. Responsibilities include campaign leadership, budget allocation, KPI and ROI management, stakeholder communication, performance reporting, testing, platform trend monitoring, and direct-report management. The role requires experience across direct-response and brand marketing, strong analytical skills, and familiarity with GA4, marketing mix modeling, and multi-touch attribution.

Lead technology and home appliance brand partnerships for Very Media Group. Develop integrated retail media campaigns, secure partner investment, manage budgets and forecasts, coordinate internal and external stakeholders, protect brand standards, and measure campaign performance. The role manages a team of three and builds strategic partnerships that drive commercial growth, customer engagement, and long-term brand value.

Lead and coach a Fraud Specialist team delivering consistent, customer-focused outcomes within regulatory and quality standards. Oversee team performance, support change initiatives, promote engagement, and contribute to Customer Care Operations strategy. The role requires fraud or regulated customer-service knowledge, strong communication, and experience working under FCA, FOS, and GDPR principles.

Creates and maintains supplier accounts and master data in the ERP system, sends account confirmations, resolves missing information with Procurement and Supplier Management, contacts suppliers for diligence, coordinates technical issue resolution, follows P2P compliance procedures, and identifies process improvements.

Leads discovery and delivery for complex, data-focused programmes. Translates business needs into requirements and data solutions, analyses processes and data flows, facilitates stakeholder workshops, defines KPIs and business cases, manages requirements through implementation, supports data platforms and governance, validates solutions, and tracks benefits. Partners with Product, Engineering, Architecture, Analytics, and senior business stakeholders to improve processes, drive adoption, and deliver measurable value.

Leads the architecture, development, and evolution of scalable cloud-native data platforms and production data solutions. Provides technical leadership across initiatives, establishes engineering standards, mentors engineers, resolves complex production issues, and improves platform performance, reliability, security, and cost efficiency. Works with Product, Platform, Architecture, and engineering teams to shape technical direction and roadmap priorities.

Designs and builds scalable data pipelines and cloud-based data platforms supporting enterprise analytics and business decisions. Owns solutions through production, improves deployment, monitoring, reliability, performance, and cost, and troubleshoots complex data issues. The role also establishes engineering standards through code reviews and reusable patterns, contributes to technical decisions, collaborates across product and engineering teams, and mentors other data engineers. Teradata expertise and knowledge of modern cloud, warehousing, ETL, lakehouse, and data platform technologies are required.