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 with a focus on long-term infrastructure and innovation.
- Why this job: Work at the forefront of technology and private markets, making a real impact.
- Qualifications: 5+ years in data engineering, machine learning, and proficiency in Python 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 Dati 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 and global opportunities, allowing you to thrive alongside a diverse team of talented professionals. Join us in London and be part of a company that values long-term infrastructure and impactful solutions in private markets.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dati in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at S64. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering expertise. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Get ready for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss how your experience aligns with S64's mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the S64 team.
We think you need these skills to ace Ingegnere Dati 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 interesting projects, especially those involving data pipelines or machine learning, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
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 brush up on your data engineering skills, especially around data ingestion pipelines and architecture. Be ready to discuss specific projects where you've built scalable systems or worked with AI/ML initiatives, as this will show your hands-on experience.
✨Familiarise Yourself with S64's Tech Stack
Before the interview, take some time to understand the technologies mentioned in the job description, like Azure, Python, and machine learning models. Being able to speak knowledgeably about how you've used these tools in past roles will impress the interviewers.
✨Prepare for Technical Questions
Expect to face technical questions that test your problem-solving skills and understanding of data structures. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Collaboration Skills
Since the role involves working closely with business stakeholders and engineers, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to manage expectations and build strong relationships, as this is key to thriving at S64.
