At a Glance
- Tasks: Design and operate scalable data pipelines for a global payments network.
- Company: Join a leading fintech company revolutionising 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 — Real-Time Payments Infrastructure in London employer: Siza- Buso Consulting
As a Senior Data Scientist at our innovative company, you'll be part of a dynamic team that is shaping the future of digital payments on a global scale. We offer a collaborative work culture that values creativity and technical excellence, alongside opportunities for professional growth in a fast-paced fintech environment. With a focus on data integrity and real-time processing, you will play a crucial role in building infrastructure that impacts millions of users worldwide, all while enjoying the flexibility of a remote working setup.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist — Real-Time Payments Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and payments space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving real-time data processing or financial systems. We want to see how you’ve tackled challenges similar to what we face here at StudySmarter.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. We might throw some technical questions your way, so practice coding challenges and be ready to discuss your past experiences with data pipelines and quality assurance.
✨Tip Number 4
Don’t forget to 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 joining our team!
We think you need these skills to ace Senior Data Scientist — Real-Time Payments Infrastructure 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 expertise in SQL, Python, and any relevant tools like Airflow or BigQuery. We want to see how your background fits into our real-time payments infrastructure!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data and fintech, and explain why you're excited about building scalable data pipelines. Let us know how your experience can help shape our platform architecture as we grow.
Showcase Relevant Projects:If you've worked on projects involving event-driven architectures or high-volume transaction flows, make sure to mention them! We love seeing real-world examples of your work that demonstrate your ability to own systems end-to-end.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Siza- Buso Consulting
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills, as well as any modern data stack tools mentioned in the job description. Be ready to discuss how you've used tools like Airflow or BigQuery in past projects, and think of specific examples where you ensured data quality and reliability.
✨Understand Real-Time Architectures
Since the role focuses on real-time payments, it’s crucial to understand event-driven architectures. Prepare to explain how you've built or operated near real-time data pipelines before, and be ready to discuss the challenges you faced and how you overcame them.
✨Showcase Your Fintech Experience
If you have a background in fintech or payments, make sure to highlight that during the interview. Discuss specific projects where you dealt with transaction volumes, data correctness, or financial workflows, as this will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data platform and future architecture plans. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Think about asking how they handle data monitoring and observability in their systems.
