AI-Driven FinTech Backend Engineer (Python)

UMO

Lisboa

Híbrido

EUR 50 000 - 70 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

24 days of annual leave
Paid sick leave
Home office stipend
Dedicated learning budget
Recharge Week benefit

Resumo da oferta

UMO is looking for a Python Engineer to design and optimize backend microservices and implement AI functionalities in their financial platform. Located in Lisbon, this role involves collaborating with cross-functional teams to embed smart features into applications.

The ideal candidate will have extensive Python experience, specifically in FastAPI and asynchronous programming, alongside a solid understanding of SQL and NoSQL databases.

Join a dynamic work environment with an emphasis on personal growth and innovative technology.

Qualificações

  • 3+ years of professional software engineering experience with a focus on Python.
  • Deep hands-on experience with FastAPI and asynchronous programming in Python.
  • Solid understanding of SQL (PostgreSQL) and NoSQL solutions.

Responsabilidades

  • Design, build, and maintain high-performance backend services using Python.
  • Build and maintain structured pipelines for data collection and ETL processes.
  • Work closely with engineering and data teams to embed AI features into applications.

Conhecimentos

Python programming
FastAPI
SQL (PostgreSQL)
Async programming
Docker
AWS or GCP

Ferramentas

Docker
CI/CD pipelines

Descrição da oferta de emprego

UMO is looking for a Python Engineer to design and optimize backend microservices and implement AI functionalities in their financial platform. Located in Lisbon, this role involves collaborating with cross-functional teams to embed smart features into applications.

The ideal candidate will have extensive Python experience, specifically in FastAPI and asynchronous programming, alongside a solid understanding of SQL and NoSQL databases.

Join a dynamic work environment with an emphasis on personal growth and innovative technology.

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