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.
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We think this is how you could land Senior Data Scientist in London
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We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Siza- Buso Consulting. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Siza- Buso Consulting
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
