Location: Remote (UK-based)
Contract Duration: 12 months (with potential to extend)
Rate: Up to £400 per day PAYE
We’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.
