Contract Assignment: Senior Data Engineer – Risk & Integrity (UK Remote) Reference: BH 7207 Hourly Rate: Competitive – DOE - 40 hrs/week Contract Type: Inside IR35 Duration: 12 months (with potential extension) Start Date: ASAP Location: Remote (must be UK-based) Must be able to contract via PAYE Responsibilities: • Design, build, and maintain robust and scalable data pipelines and models to support analytics and product development. • Collaborate cross-functionally with engineering, product, and data science teams across UK, US, and EMEA to improve risk and fraud detection systems. • Drive end-to-end data projects related to financial products, risk analytics, and fraud prevention metrics. • Optimize ETL processes for both structured and unstructured data across high-volume, real-time systems. • Build data dashboards and visualizations for leadership tracking and performance monitoring. • Contribute to data deprecation strategies and data governance compliance efforts. • Participate in on-call rotations and provide operational support for critical data infrastructure. Requirements: • 5+ years of professional experience in data engineering, data science, or analytics roles with a strong technical focus. • Advanced SQL and intermediate Python programming skills. • Expertise in data modeling, data warehousing, and performance optimization for large-scale data systems. • Experience handling end-to-end project delivery with a strong product mindset. • Previous exposure to financial, risk, integrity, or fraud prevention domains is highly desirable. • Familiarity with visualization tools such as Tableau or similar internal dashboarding platforms. • Ability to work independently while collaborating across global teams. • Strong communication and storytelling skills using data. Preferred Background: • Experience working in or with companies handling large-scale transactional data (e.g., fintech, ad-tech, telecom). • Familiarity with high-growth or startup environments, particularly involving financial products or security systems. • Prior experience working in a fast-paced, matrixed organization. Required Qualification(s): • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)