62248-1 – Data Engineer

Data Engineer Location: London, UK Length: 6 Months Rate: £45.19 – £50.00 p/h Hours: 9am-6pm Overview: Our client is seeking a highly skilled Data Engineer to develop, evaluate, test, and maintain scalable data solutions that drive strategic business outcomes. You will work closely with cross-functional teams to improve processes, build robust data pipelines, and deliver insightful dashboards that support key decision-making within their Business Messaging Experiences team. Responsibilities: Design and implement scalable data management systems. Develop ETL processes and high-performance data algorithms. Build and maintain dashboards to visualize insights and track trends. Collaborate with cross-functional teams (DE, DS, Product, Engineering) to identify process and data improvements. Own projects end-to-end — from design to deployment. Create technical design documentation and participate in regular reviews. Skills and Experience: SQL: 5+ years of hands-on experience. Python: 5+ years of experience developing data pipelines and solutions. ETL & Data Modelling: Strong understanding of best practices and optimization techniques. Data Visualization : Ability to design dashboards that effectively communicate complex insights. Analytical Thinking: Strong problem-solving skills and attention to detail. Communication: Excellent collaboration and stakeholder management skills. Bachelor’s degree in a technical/STEM field. Experience in large-scale consumer tech or product-focused companies (e.g., Monzo, Deliveroo). Master’s degree in a technical or quantitative field. Familiarity with in-house browser analytics and business messaging products. Big Tech, Fintech, or other Product-led organizations Strong product sense Strategic mindset Team & Project Insights: Team Structure: 4 Data Engineers based in London. Manager: Contractor will report directly to the hiring manager. Collaboration: Frequent interaction with partner Monetization teams, Data Scientists, Product Managers, and Engineers. Work on the “Non-Supply” pillar (e.g., authentication, utility, marketing messages). Develop measurement tools for in-app browser performance. Build pipelines, data models, and dashboards. Identify and address data gaps. #J-18808-Ljbffr