Top Tech Jobs & Startup Jobs in London

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.

The Marketing Analyst will develop and manage marketing reports, monitor product performance metrics, analyze advertising campaigns, and provide data-driven recommendations to enhance marketing KPIs. The role requires proficiency in data integration and visualization, as well as strong analytical skills.

As a Project Manager at Social Discovery Group, you will define project scopes, develop plans, lead cross-functional teams, ensure clear stakeholder communication, manage risks, and track project performance. You will coordinate work among various professionals to achieve project goals in a fast-paced tech environment.

As a QA Engineer for Kiseki, you will focus on test planning, writing test cases, and stabilizing patches for a new dating app in the Japanese market. In this role, you'll improve the testing process within a remote team, adhering to agile methodologies and Continuous Delivery.

The Head of Brand will lead the development and implementation of brand strategies, manage media activities, collaborate with influencers, and engage with audiences on social platforms to enhance brand visibility and drive sales. Responsibilities include securing media publications, launching creative campaigns, and building a community around the brand.

As a Product Manager (NLP), you will lead a team of ML engineers to enhance NLP models and improve product performance. Your tasks will include developing strategies, managing model integration, optimizing training processes, and overseeing testing and deployment of ML services.

The Senior Product Analyst will evaluate product changes, design experiments, analyze results through A/B testing and causal inference, identify growth points, and maintain product dashboards. Required skills include strong analytical expertise, proficiency in Python and SQL, and experience with BI tools.