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.