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 wealth management across EMEA and APAC.
- 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: Work at the forefront of technology and private markets, making a real impact.
- Qualifications: 5+ years in data engineering with skills in Python, Java, or Scala; SaaS experience preferred.
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.
Ingegnere dei dati (f/m) in London 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, S64 provides competitive compensation, global opportunities, and a collaborative culture that values diversity and expertise. Join us in London to be part of a team that is shaping the future of private markets with cutting-edge technology and impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. 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 engineering projects, especially those involving AI/ML. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects. Confidence is key!
✨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, it shows you're genuinely interested in joining our team at S64.
We think you need these skills to ace Ingegnere dei dati (f/m) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data architecture, 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. Be sure to mention any experience in fintech or SaaS platforms, as that’s right up our alley.
Showcase Your Projects:If you've worked on any cool projects, especially those involving data pipelines or machine learning, make sure to include them. We love seeing practical examples of your work and how you’ve tackled challenges in the past.
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 Inside Out
As a Data Engineer, you’ll need to demonstrate your expertise in data architecture and machine learning. Brush up on your knowledge of relational and NoSQL databases, as well as your experience with Azure. Be ready to discuss specific projects where you've built data ingestion pipelines or worked with vector databases.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've troubleshot data issues in the past. Highlight your ability to identify root causes and implement long-term fixes. This will show that you can handle challenges effectively and contribute to maintaining robust data systems.
✨Familiarise Yourself with S64's Mission
Understand S64’s role in the fintech landscape and how it supports private wealth access to private markets. Being able to articulate how your skills align with their mission will demonstrate your genuine interest in the company and the position.
✨Prepare for Technical Questions
Expect technical questions related to Python, TypeScript, Java, or Scala, as well as your experience with AI/ML tooling. Practise coding challenges or system design questions that reflect the responsibilities of the role. This will help you feel more confident during the interview.
