At a Glance
- Tasks: Design and operate scalable data pipelines for a global payments network.
- Company: Join a leading fintech company transforming digital payments worldwide.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Be part of a pivotal moment in shaping a cutting-edge data platform.
- Why this job: Make a real impact by building essential data infrastructure in a fast-paced environment.
- Qualifications: 5+ years in data systems, strong SQL and Python skills, and experience with modern data tools.
The predicted salary is between 70000 - 90000 £ per year.
We are building the connectivity layer that powers digital payments across the world's largest wallet network — already embedded in platforms serving tens of millions of users across 120+ countries. As we scale our payments, data is becoming foundational to everything we do. This is the moment we move from MVP pipelines to production-grade architecture — and we need a senior engineer to help build it.
The Role
- You'll design and operate the data platform behind a real-time, high-volume global payments network.
- Working closely with the Data Engineering Lead, you'll build event-driven pipelines, ensure data quality across critical financial workflows, and develop backend services that expose clean, reliable data across the business.
What You'll Do
- Design and operate scalable, near real-time data pipelines across high-volume transaction flows.
- Own data quality, monitoring, and observability for financial-grade systems.
- Model transactional and ledger-style data — reconciliation, merchant reporting, and settlement tracking.
- Build backend services that expose data to internal platforms and APIs.
- Shape the platform architecture as requirements grow.
What You Bring
- 5+ years building and operating production data systems.
- Strong SQL and Python skills with expertise in large-scale data processing.
- Hands-on experience with modern data stack tools — Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar.
- Experience with event-driven, real-time or near real-time architectures.
- A first-class approach to data correctness, reliability, and monitoring.
- Ability to own systems end-to-end in a remote, async environment.
Preferred:
- Background in fintech, payments, or financial data — reconciliation, settlement, or ledger reporting.
- Exposure to Web3, blockchain, or on-chain data ecosystems.
- Rust experience or willingness to learn.
We are particularly interested in engineers who have cut their teeth in demanding fintech or payments ecosystems — the kind of environments where data correctness, transaction volume, and reliability are non-negotiable. You'll join at a pivotal moment — not inheriting a finished platform, but helping define one. If you're energised by building data infrastructure that genuinely matters at scale, this is your opportunity.
Senior Data Scientist in London employer: Siza- Buso Consulting
Join a forward-thinking company that is at the forefront of digital payments, where your expertise as a Senior Data Scientist will directly impact millions of users worldwide. With a strong emphasis on innovation and collaboration, we offer a dynamic work culture that fosters professional growth and encourages you to shape the future of our data architecture. Enjoy the flexibility of a remote working environment while being part of a team that values data integrity and reliability in a fast-paced fintech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network, network, network! Reach out to people in the fintech and data science communities. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data pipelines or real-time systems. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice coding challenges that focus on data processing and system design. We recommend using platforms like LeetCode or HackerRank to get in the zone.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying; it shows your enthusiasm!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your experience with data systems, SQL, Python, and any relevant tools like Airflow or BigQuery. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data and fintech, and explain how your background prepares you for the challenges we face. Be genuine and let your personality shine through!
Showcase Relevant Projects:If you've worked on projects that involved building data pipelines or ensuring data quality, make sure to mention them! We love seeing real-world examples of your work, especially in high-volume environments. It helps us understand your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at Siza- Buso Consulting
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in the modern data stack tools mentioned in the job description, like Airflow, dbt, and BigQuery. Be ready to discuss your hands-on experience with these tools and how you've used them to build scalable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous roles, especially related to data quality and reliability. Highlight how you approached these problems and the impact your solutions had on the overall system.
✨Understand the Fintech Landscape
Brush up on your knowledge of fintech, payments, and financial data systems. Being able to speak intelligently about reconciliation, settlement, and ledger reporting will show that you understand the nuances of the industry and can contribute from day one.
✨Demonstrate Your Remote Work Skills
Since this role is in a remote, async environment, be prepared to discuss how you manage your time and communicate effectively with your team. Share examples of how you've successfully owned projects end-to-end while working remotely.
