62248-1 - Data Engineer

Amazon

Southend-on-Sea

1 week ago

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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.

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