Data Engineer IV

Senior Data Engineer
Location: Remote (UK-based)
Contract Duration: 12 months (with potential to extend)
Rate: Up to £400 per day PAYEWe're looking for a highly experienced Senior Data Engineer to join a global technology organisation's risk product team. This is a hands-on role with responsibility for designing, building, and maintaining data pipelines and analytics systems that directly impact decision-making for billions of users and millions of businesses globally. You'll own a key product area and drive projects focused on enhancing data availability for improved decision-making and analytics performance. You'll collaborate with cross-functional partners across regions (EMEA & US), developing robust datasets, building dashboards, and addressing fraud trends with real-time data solutions.Key Responsibilities

• Design, build, and launch sophisticated data models and pipelines.
• Collaborate with engineers, product managers, and data scientists to define data requirements and deliver insights.
• Solve complex data integration problems using optimal ETL patterns and frameworks.
• Build and maintain dashboards to support visibility for senior leadership.
• Take part in an on-call rotation every few months, managing recurring tasks and resolving issues in real time.
• Work in monthly sprints, balancing project delivery and operational responsibilities.

What We're Looking For

• 8 years of experience in data engineering, analytics, or similar.
• Advanced SQL and intermediate Python for pipeline development.
• Strong background in data modeling, data warehousing, and data architecture.
• Solid product sense and experience owning projects end to end.
• Proven ability to work with large-scale datasets and optimize data systems.
• Experience creating dashboards using Tableau or similar tools.
• Excellent communication and cross-functional collaboration skills.

Preferred Background

• Experience in large-scale financial or integrity product environments (e.g. fintech, ad-tech, or telecoms with big data).
• Background in high-transaction platforms or companies such as Meta, Amazon, PayPal, or Google.
• Familiarity with fraud detection, trend monitoring, and risk mitigation via data insights.
• Ex-big tech or startup candidates with hands-on experience building data products at scale are highly encouraged.

This is a fantastic opportunity for someone who thrives in fast-paced, impact-driven environments, with the autonomy to lead and the scale to grow. If you have the technical depth and a product-oriented mindset, we'd love to hear from you.
#J-18808-Ljbffr