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 - Payments Infrastructure in London employer: Siza- Buso Consulting
As a Senior Data Scientist at our innovative payments infrastructure 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 prioritises employee growth and development, with opportunities to work on cutting-edge technology in a fast-paced fintech environment. Our commitment to data quality and reliability ensures that you will be making a meaningful impact while enjoying the flexibility of a remote working setup.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Payments Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and payments space on LinkedIn. Join relevant groups and participate in discussions. You never know who might have a lead on that Senior Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving real-time data processing or financial systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data pipelines and event-driven architectures. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s build something amazing together!
We think you need these skills to ace Senior Data Scientist - 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 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 real-time data processing or financial systems, make sure to mention them! We love seeing concrete examples of your work, especially if they demonstrate your ability to ensure data quality and reliability.
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’re well-versed in the modern data stack tools mentioned in the job description, like Airflow, dbt, and BigQuery. Brush up on your SQL and Python skills, as you'll likely be asked to demonstrate your expertise during the interview.
✨Understand Event-Driven Architectures
Since the role involves building event-driven pipelines, it’s crucial to understand how these architectures work. Be prepared to discuss your experience with real-time data processing and how you've tackled challenges in high-volume transaction flows.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've ensured data quality and reliability in previous roles. Think about situations where you had to troubleshoot issues or improve existing systems, as this will highlight your ability to own systems end-to-end.
✨Align with Their Vision
Research the company’s mission and values, especially their focus on fintech and payments. Be ready to express why you're excited about building data infrastructure that matters at scale, and how your background aligns with their needs.
