Data Engineer

Data Engineer

Full-Time 60000 - 80000 € / year (est.) No home office possible
S64

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 early responsibility in a dynamic environment.
  • Other info: Collaborative culture with a focus on personal growth and knowledge sharing.
  • Why this job: Make a real impact in private markets while developing expertise in a rapidly evolving field.
  • 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.

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.
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.
  • 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.
Personal Characteristics
  • 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.
Why S64?

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.

Data Engineer employer: S64

S64 is an exceptional employer that offers a unique opportunity to work at the forefront of private markets and technology within a dynamic and collaborative environment. With a strong focus on employee growth, competitive compensation, and global exposure, S64 empowers its team members to take on early responsibilities and develop deep expertise in a rapidly evolving industry. The company's commitment to fostering a diverse and inclusive culture ensures that every voice is valued, making it an ideal place for those seeking meaningful and impactful careers.

S64

Contact Detail:

S64 Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at S64. A personal introduction can make all the difference when it comes to landing that interview.

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 technical interviews by brushing up on your coding skills and understanding data architecture principles. Practice common data engineering problems and be ready to discuss your thought process during interviews.

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 Data Engineer

Data Engineering
Python
TypeScript
Java
Scala
Data Architecture
Data Ingestion Pipelines

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 your experience in fintech or SaaS platforms if you have it!

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 problem-solving skills and technical expertise.

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.

Familiarise Yourself with AI/ML Concepts

Since the role involves AI-driven data solutions, make sure you can talk about your experience with machine learning models and vector databases. Being able to explain how you've converted unstructured data into usable formats will set you apart.

Emphasise Collaboration and Communication

S64 values teamwork, so be prepared to discuss how you've worked closely with engineers and stakeholders in previous roles. Share examples of how you’ve built strong relationships and contributed positively to team culture.