CDI – Senior Backend Engineer – Fintech B2B (DeepTech Data) | Paris - Permanent

Salary: selon la séniorité

About the company:

Building a modern alternative to legacy risk and analytics systems for financial institutions.

The platform centralizes massive volumes of financial data, computes complex risk metrics in seconds, and delivers actionable insights through interactive dashboards - helping organizations make faster, better-informed decisions at scale.

It is an AI-powered financial analytics platform enabling banks, insurers, and asset managers to monitor risk, performance, and regulatory compliance in real time.

We’re looking for a Senior Backend Engineer to join the backend team (10 engineers) working at the core of a large-scale data analytics platform.

They primarily work with functional programming (Scala with the Typelevel stack), while also using Rust and Python. The platform relies on an MPP database for large-scale data storage and aggregation, along with SQL databases for metadata, access management, and a transactional layer on top of ClickHouse.

Your role:

• Design, build and maintain high-performance backend systems using Scala (Typelevel) within a large-scale financial data platform

• Optimize queries, contribute to UDF development and support complex data modeling across MPP and SQL databases (incl. ClickHouse layers)

• Contribute to security, CI/CD and deployment processes in a production-grade environment

• Drive engineering excellence through architecture discussions, performance optimization and best practices

Your profile:

• 7+ years of experience in backend software development

• Experience working as a senior developer with strong autonomy and ownership

• Solid experience with databases (SQL required; experience with large-scale or MPP systems is a plus)

• Experience with Scala is a plus; otherwise, a clear willingness to learn and work with functional programming is expected

• Ability to ramp up on complex backend topics such as query optimization, data modeling and performance tuning

• Strong engineering mindset, structured and comfortable in data-intensive environments

Details:

• Permanent contract

• Paris-based role with hybrid setup (2 days remote per week)

• Opportunity to work on complex big data systems used by major financial institutions