Senior Data Engineer: Real-Time Liquidity & Observability

Senior Data Engineer: Real-Time Liquidity & Observability

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Wise

At a Glance

  • Tasks: Design and build real-time liquidity observability systems that impact Wise products.
  • Company: Join Wise, a leading fintech company revolutionising the way we handle money.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for personal growth.
  • Other info: Great career progression in a dynamic and supportive team.
  • Why this job: Be at the forefront of innovation in a collaborative and autonomous environment.
  • Qualifications: Experience in data engineering and a passion for driving technical strategy.

The predicted salary is between 70000 - 90000 £ per year.

Wise is seeking a Senior Data Engineer II to join the Treasury Global Liquidity team in London.

You will help design the foundations of the real‑time liquidity observability stack and core business functions, delivering initiatives with measurable impact across Wise products.

You will lead in a highly collaborative, autonomous setting, shaping technical strategy, ensuring scalable, robust systems, and driving innovation and continuous improvement.

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Senior Data Engineer: Real-Time Liquidity & Observability employer: Wise

Wise is an exceptional employer that prioritises the well-being and professional growth of its employees. With a dynamic work culture that fosters innovation and collaboration, team members are encouraged to develop their skills while contributing to meaningful resilience strategies on a global scale. Located in a vibrant city, Wise offers competitive benefits and unique opportunities for career advancement, making it an ideal place for those seeking a rewarding and impactful career.

Wise

Contact Details:

Wise Recruitment Team

We think you need these skills to ace Senior Data Engineer: Real-Time Liquidity & Observability

SQL
Python
Problem-Solving Skills
Communication Skills
Attention to Detail
Data Engineering
Data Pipeline Development