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: Work behind the scenes of sophisticated investment platforms and shape the future of private markets.
- Why this job: Make a real impact in private markets with cutting-edge technology and innovative solutions.
- Qualifications: 5+ years in data engineering, machine learning, and proficiency in Python, TypeScript, Java, or Scala.
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) 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 dedicated to shaping the future of private markets. Our London headquarters fosters a collaborative culture where your contributions directly impact our cutting-edge SaaS platform and the broader financial landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Ingegnere dei dati (f/m)
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
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your knowledge of data architecture, ingestion pipelines, and machine learning models. Be ready to discuss how you've applied these in previous roles, especially in a SaaS environment.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, TypeScript, Java, or Scala. You might be asked to solve a coding problem or explain your approach to building data access APIs. Practising common algorithms and data structures can give you an edge.
✨Understand the FinTech Landscape
Familiarise yourself with the current trends in the FinTech industry, particularly around private markets and AI-driven solutions. Being able to discuss how these trends impact data engineering will show that you’re not just technically skilled but also industry-savvy.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Prepare examples of how you've managed stakeholder expectations and resolved data issues in the past. Strong communication skills can set you apart from other candidates.
