IT Data Architect in London

IT Data Architect in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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 career growth in a dynamic environment.
  • Other info: Be part of a diverse team shaping the future of private market access.
  • 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 70000 - 90000 £ 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.

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. We are building long‑term infrastructure, not short‑term products. In return, we offer competitive compensation, global opportunity, and the ability to grow alongside a firm shaping how private markets are delivered.

IT Data Architect 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, we provide competitive compensation and global opportunities for our team members to thrive alongside a firm that is reshaping private market access. Our diverse culture fosters collaboration and creativity, making S64 a rewarding place to build a meaningful career.

S64

Contact Details:

S64 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land IT Data Architect 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 a CV just can't.

Tip Number 2

Show off your skills! Prepare a portfolio or a project that highlights your data engineering prowess. Bring it up during interviews to demonstrate your hands-on experience.

Tip Number 3

Stay updated on trends! Brush up on the latest in AI/ML and cloud tech. Being knowledgeable about current tools will impress the team and show you're ready to hit the ground running.

Tip Number 4

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 family.

We think you need these skills to ace IT Data Architect in London

Data Engineering
AI/ML Solutions
Data Architecture
Data Ingestion Pipelines
Data Access APIs
Database Management
Data Warehousing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the IT Data Architect role. Highlight your experience with data engineering, 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 working with us and how your background makes you a great fit for our team. Be sure to mention any experience in fintech or SaaS platforms.

Showcase Your Projects:If you've worked on any relevant projects, make sure to include them! Whether it's building data pipelines or implementing machine learning models, we love to see real-world examples of your work that demonstrate your expertise.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're genuinely interested in joining the S64 team!

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 architecture and pipelines. Be ready to discuss specific projects where you've built data services or solved complex data issues, as this will show your hands-on experience.

Familiarise Yourself with the Tech Stack

Since S64 is looking for expertise in Python, TypeScript, Java, or Scala, ensure you're comfortable discussing your experience with these languages. Also, be prepared to talk about your familiarity with Azure and how you've used it for data processing and storage.

Showcase Your Problem-Solving Skills

Prepare examples of how you've troubleshot data issues in the past. Highlight your ability to identify root causes and implement long-term fixes, as this is crucial for the role. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

Understand the FinTech Landscape

Since S64 operates in the wealth management sector, having a grasp of the financial services industry will give you an edge. Research current trends in private markets and be ready to discuss how your skills can contribute to S64's mission of delivering robust data solutions.