Senior Engineer, Data Engineering in London

S64 is the preeminent alternatives fintech and solutions partner to the wealth management industry across EMEA and APAC. We enable private banks, wealth managers and intermediaries to deliver private markets with institutional grade robustness and repeatability. We also enable private markets managers to scale private wealth distribution across these regions through best-in-class structuring, lifecycle execution and enterprise technology.

Our team is diverse and multi-disciplined with talented professionals working across the breadth of technology, structuring, operations and sales. Headquartered in London, S64 has a global presence with offices in Luxembourg, Madrid, Dublin, New York, Hong Kong, Singapore, Tokyo, Seoul, Bangkok, Sydney, and Melbourne.

We are seeking an experienced Data Engineer to build data services for our leading private markets SaaS platform. As a Data Engineer you will be part of the data engineering team, and partner closely with business stakeholders to design and deliver AI-driven data solutions with measurable impact.

• Produce high-quality data, robust data architecture, and scalable systems that support applications, analytics and AI/ML initiatives.
• Create and maintain data ingestion pipelines delivering clean, well-structured data to power applications and machine learning models.
• Create and maintain data access APIs for all S64 applications and users.
• Collaborate closely with Engineers to design pipelines and data schemas optimized for experimentation and model training.
• Maintain and evolve our databases and data warehouses across environments, ensuring performance, integrity, and support for analytics and ML use cases.
• Troubleshoot and resolve data issues across systems, identifying root causes and implementing long-term fixes.
• Stay up to date with developments in data engineering, AI/ML tooling, and cloud infrastructure, and bring relevant ideas and improvements back to the team.

Qualifications:

• Bachelor's degree in computer science, engineering, or related fields.
• Over 5 years of experience with data, machine learning and python, typescript, Java, or Scala.
• Previous experience at a product company building SaaS platforms is highly desirable.
• Expert in designing data stores (relational, NoSQL, blob storage & vector).
• Experience with Azure and using it for data processing, storage, and reporting.
• Skilled in converting unstructured data into vector embeddings using machine learning models.
• Skilled in building vector databases and indexing using specialized algorithms.
• Skilled in implementing LLMs with large datasets and complex data models.
• Familiarity with Git and version control (particularly Azure DevOps).
• Experience with Agile development methodologies.
• Experience with modern web development technology stack is advantageous.
• Experience working in financial services is advantageous.

You manage stakeholder and team expectations with confidence, presenting your work effectively and building strong relationships while representing your team. S64 offers a rare opportunity to work at the intersection of private markets, technology, and institutional distribution at a time of structural change. You will be part of a firm that operates behind the scenes of some of the most sophisticated investment platforms globally, helping bring private markets to scale without compromising on quality or control. We are building long‑term infrastructure, not short‑term products. In return, we offer competitive compensation, global opportunity, and the ability to grow alongside a firm shaping how private markets are delivered.

S64 evaluates qualified applicants without regard to race, colour, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.