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: Ideal for those passionate about fintech and real-time data solutions.
- Why this job: Be part of a pivotal moment in building impactful data infrastructure.
- Qualifications: 5+ years in production data systems with strong SQL and Python skills.
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 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 the scalability and reliability of our global payment infrastructure. We foster a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a dynamic fintech environment. With a focus on data integrity and cutting-edge technology, you'll be part of a team that is shaping the future of financial transactions across the globe.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist — Real-Time Payments Infrastructure
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and payments space on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 modern data stack tools and how you've tackled challenges in high-volume transaction environments.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist — Real-Time Payments Infrastructure
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, especially if they relate to data correctness and reliability in fintech.
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 gives you a chance to explore more about what we do at StudySmarter!
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. Be ready to discuss your hands-on experience with these tools and how you've used them to build scalable data pipelines.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your SQL and Python expertise during the interview. You might be asked to solve a problem on the spot, so brush up on your coding skills and be ready to explain your thought process as you work through it.
✨Understand Real-Time Architectures
Since the role focuses on real-time data processing, make sure you can articulate your experience with event-driven architectures. Share specific examples of how you've built or operated systems that handle high-volume transaction flows.
✨Emphasise Data Quality and Reliability
Data correctness is crucial in fintech, so be prepared to discuss your approach to ensuring data quality and monitoring. Bring examples of how you've tackled data reliability issues in past projects and what strategies you implemented to maintain high standards.
