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: Collaborative team culture focused on long-term infrastructure and innovation.
- 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.
Ingegnere Dei Dati 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 for our team members to thrive. Our diverse culture fosters collaboration and creativity, making it an ideal place for professionals looking to make a meaningful impact in the evolving landscape of private markets.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dei Dati
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at S64 or similar companies. Use LinkedIn to connect and engage with them; you never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially any AI-driven solutions you've worked on. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data architecture and machine learning, and how you can contribute to S64's mission.
✨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 the S64 team.
We think you need these skills to ace Ingegnere Dei Dati
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. Don’t forget to mention any experience in fintech or SaaS platforms – it’ll make you stand out!
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 that demonstrate your skills and creativity!
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
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your knowledge of data ingestion pipelines, data architecture, and machine learning models. Being able to discuss your past experiences with these topics will show that you’re not just familiar but also passionate about data.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, TypeScript, Java, or Scala during the interview. You might be asked to solve a coding challenge or explain how you've used these languages in previous projects. Bring examples of your work, especially those related to SaaS platforms, to highlight your experience.
✨Understand the Company’s Mission
Familiarise yourself with S64's role in the fintech space and how it supports private wealth management. Understanding their mission will help you align your answers with their goals and demonstrate that you’re genuinely interested in contributing to their success.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with insightful questions about the team, the technology stack, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
