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 the chance to grow in a dynamic environment.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact in private markets while working with cutting-edge technology.
- Qualifications: 5+ years of experience in data engineering, machine learning, and programming languages like Python.
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.
Key Responsibilities- 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.
- 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.
- Previous experience at a FinTech, Tech Startup, or a product company building SaaS platforms is advantageous.
- 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.
- Strong problem-solving and analytical skills, with excellent written and verbal communication skills.
- You are a proactive self-starter who actively seeks opportunities to enhance the products you work on.
- You manage stakeholder and team expectations with confidence, presenting your work effectively and building strong relationships while representing your team.
- You value in-person collaboration and understand the benefits of face-to-face interactions for fostering stronger connections and improving outcomes.
- You thrive in a collaborative environment, contributing positively to team culture. You continuously seek to expand your knowledge and share insights to support collective growth.
S64 offers a rare opportunity to work at the intersection of private markets, technology, and institutional distribution at a time of structural change. You will be part of a firm that operates behind the scenes of some of the most sophisticated investment platforms globally, helping bring private markets to scale without compromising on quality or control. Roles at S64 offer early responsibility, global exposure and the chance to develop deep expertise in a complex and evolving market.
We are building long‑term infrastructure, not short‑term products. If you want your work to matter, and to be trusted with real responsibility, S64 offers that opportunity. In return, we offer competitive compensation, global opportunity, and the ability to grow alongside a firm shaping how private markets are delivered.
S64 evaluates qualified applicants without regard to race, colour, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
Locations
Data Engineer in Cheshire, Warrington employer: S64
S64 is an exceptional employer that stands at the forefront of fintech innovation, offering Data Engineers the chance to work on cutting-edge private markets solutions in a dynamic and collaborative environment. With a strong emphasis on employee growth, competitive compensation, and global exposure, S64 fosters a culture where your contributions are valued and impactful. Located in London, our diverse team thrives on in-person collaboration, ensuring that every member has the opportunity to develop their skills while shaping the future of wealth management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Cheshire, Warrington
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at S64. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving data engineering or AI/ML. Let them see what you can bring to the table.
✨Tailor Your Approach
Do your homework on S64 and the role of Data Engineer. When you speak to them, mention specific projects or technologies they use. This shows you're genuinely interested and have done your research!
✨Follow Up
After any interaction, whether it’s an interview or a casual chat, drop a quick thank-you email. It keeps you fresh in their minds and shows your enthusiasm for the role. Plus, who doesn’t appreciate a little gratitude?
We think you need these skills to ace Data Engineer in Cheshire, Warrington
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 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 a big plus for us.
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 Engineering Fundamentals
Brush up on your data engineering principles, especially around data architecture and pipeline design. Be ready to discuss your experience with relational and NoSQL databases, as well as your familiarity with Azure for data processing.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data issues in the past. Highlight your analytical skills and how you’ve implemented long-term fixes, as this will resonate well with their focus on robust solutions.
✨Demonstrate Collaboration Experience
Since S64 values teamwork, be prepared to discuss how you've worked closely with engineers and business stakeholders. Share instances where your collaboration led to successful project outcomes, particularly in a SaaS environment.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest developments in AI/ML tooling and cloud infrastructure. Bring relevant ideas to the table during your interview, showing that you're proactive about enhancing the products you work on.