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: Dynamic team environment focused on innovation and reliability.
- 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 - Payments Infrastructure 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, alongside competitive benefits and the unique opportunity to work remotely in a fast-paced fintech environment. Join us to make a meaningful impact while advancing your career in a role that is both challenging and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - 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. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source data tools, make sure to highlight them. We love seeing real-world applications of your SQL and Python prowess!
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of event-driven architectures and data quality practices. We want to see how you think through problems, so be ready to discuss your past experiences in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are excited about building impactful data infrastructure.
We think you need these skills to ace Senior Data Scientist - 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 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 practical 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 our team 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. Brush up on your SQL and Python skills, as these will be crucial for demonstrating your technical expertise during the interview.
✨Showcase Real-Time Experience
Prepare to discuss your hands-on experience with event-driven architectures and real-time data processing. Be ready to share specific examples of how you've built or operated production data systems in high-volume environments, especially in fintech or payments.
✨Emphasise Data Quality
Highlight your approach to ensuring data correctness and reliability. Discuss any monitoring and observability practices you've implemented in previous roles, as this is a key aspect of the position and will show that you understand the importance of data integrity.
✨Be Ready to Adapt
Since the role involves shaping the platform architecture as requirements grow, demonstrate your flexibility and willingness to learn new technologies, like Rust or blockchain. Share instances where you've successfully adapted to changing project needs or learned new skills on the job.
