At a Glance
- Tasks: Build data services for a leading private markets SaaS platform and deliver AI-driven solutions.
- Company: Join S64, a top fintech partner in the wealth management industry with a global presence.
- Benefits: Competitive compensation, global opportunities, and career growth in a dynamic environment.
- Other info: Be part of a diverse team shaping the future of private market access.
- Why this job: Make a real impact in private markets while working with cutting-edge technology.
- Qualifications: 5+ years in data engineering, machine learning, and proficiency in Python, TypeScript, or Java.
The predicted salary is between 60000 - 80000 £ per year.
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.
In return, we offer competitive compensation, global opportunity, and the ability to grow alongside a firm shaping how private markets are delivered.
Senior Engineer, Data Engineering employer: S64
S64 is an exceptional employer, offering a dynamic work environment at the forefront of fintech innovation in the wealth management sector. With a commitment to employee growth and development, we provide competitive compensation and global opportunities, allowing you to thrive alongside a diverse team of talented professionals. Our London headquarters serves as a hub for collaboration and creativity, empowering you to make a meaningful impact in the evolving landscape of private markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to current employees at S64 on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering expertise, especially with AI-driven solutions. Bring it up during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready to discuss real-world problems! Think of examples where you've tackled data issues or improved systems. This shows you can think critically and apply your knowledge effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the S64 team.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Engineer role. Highlight your experience with data engineering, machine learning, and any relevant technologies like Python or Azure. We want to see how your skills align with what we do at S64!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Don’t forget to mention any experience in fintech or SaaS platforms – it’ll definitely catch our eye!
Showcase Your Projects:If you've worked on any cool projects, especially those involving data pipelines or AI solutions, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back on the details!
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 you’re keen on joining the S64 family!
How to prepare for a job interview at S64
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around data ingestion pipelines and APIs. Be ready to discuss your experience with Python, Java, or Scala, and how you've used these languages in previous projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you resolved them. Highlight your ability to troubleshoot data issues and implement long-term fixes, as this is crucial for the role.
✨Familiarise Yourself with S64's Mission
Understand S64's position in the fintech space and how they empower private wealth access to private markets. This will help you align your answers with their goals and demonstrate your genuine interest in the company.
✨Prepare Questions for Them
Have a few insightful questions ready about their data architecture or AI-driven solutions. This shows that you're not just interested in the job, but also in how you can contribute to their innovative projects.
