Finance Data Engineer: Treasury Analytics & Pipelines

Finance Data Engineer: Treasury Analytics & Pipelines

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build scalable data pipelines for analytics and reporting.
  • Company: Join Stripe, a leading tech company revolutionising finance.
  • Benefits: Competitive salary, flexible work options, and growth opportunities.
  • Other info: Dynamic role with the chance to leverage AI tools for development.
  • Why this job: Shape self-serve analytics and make a real impact on finance teams.
  • Qualifications: Experience in data engineering and strong collaboration skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Stripe is seeking a Senior Data Engineer to design, build, and own scalable data pipelines and data models that power analytics and reporting across the company.

You will partner with treasury finance, data scientists, and engineers, translating business requirements into reliable data architectures, and you will leverage AI tools to accelerate development while maintaining quality.

This role offers the opportunity to shape self-serve analytics and impact across product and finance teams.

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Finance Data Engineer: Treasury Analytics & Pipelines employer: Aplaro Ltd

Baringa is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant Energy & Infrastructure sector. With a strong focus on employee development, you will have access to numerous growth opportunities while working alongside industry experts on impactful projects that shape the future of energy and utilities. Located in a dynamic environment, Baringa offers a unique chance to engage with diverse clients and contribute to meaningful change in the renewable infrastructure landscape.

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Contact Details:

Aplaro Ltd Recruitment Team

We think you need these skills to ace Finance Data Engineer: Treasury Analytics & Pipelines

SQL
Python
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Data Engineering
API Integration