Backend Engineer (Python) – Remote + Vienna Onsite

Mentor Talent Acquisition; Almería; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Vienna office & remote option

Competitive compensation

Equity participation

International team

Career growth in AI-first finance

Descripción de la vacante

Mentor Talent Acquisition is seeking a Backend Engineer to design and build scalable Python backend services, APIs and data pipelines. You will focus on robust, production-grade software while collaborating with AI-enabled features and data systems in a hybrid Vienna-based role.

Join an ambitious, international team and grow into data engineering over time, with quarterly office weeks in Vienna and ongoing opportunities to shape an AI-native finance platform.

Formación

• Strong Python programming skills.
• Experience building production software.
• Good understanding of object-oriented programming and software design principles.
• Solid SQL knowledge.
• Experience with AWS.
• Experience designing or consuming REST APIs.
• Experience with Git and CI/CD.
• Strong analytical and problem-solving skills.
• Ability to work independently and take ownership.

Responsabilidades

• Design, build and maintain scalable backend services using Python.
• Develop new product features and reusable backend architectures.
• Build reliable APIs, integrations and business logic.
• Improve system performance, reliability, security and maintainability.
• Identify technical bottlenecks and contribute to architectural decisions.

Conocimientos

Python

AWS

SQL

REST APIs

CI/CD

Git

Data engineering

Analytical skills

Herramientas

Docker

Kubernetes

GraphQL

Terraform

ClickHouse

Redshift

Descripción del empleo

Mentor Talent Acquisition is seeking a Backend Engineer to design and build scalable Python backend services, APIs and data pipelines. You will focus on robust, production-grade software while collaborating with AI-enabled features and data systems in a hybrid Vienna-based role.

Join an ambitious, international team and grow into data engineering over time, with quarterly office weeks in Vienna and ongoing opportunities to shape an AI-native finance platform.