Backend Python Developer

Mentor Talent Acquisition

Almería

Híbrido

EUR 65.000 - 90.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Quarterly office visits in Vienna

Descripción de la vacante

Mentor Talent Acquisition is seeking a Backend Python Developer to build scalable backend services and APIs, focusing on Python, data pipelines, and LLM‑powered features.

The role blends backend engineering with data engineering across AWS, SQL, ETL/ELT pipelines and modern infra like Docker, Kubernetes, GraphQL and Terraform. Remote option with quarterly Vienna office weeks; based in Almería, Spain.

Formación

  • Strong backend development skills with Python and API design principles.
  • Experience building and operating production software.
  • Strong SQL knowledge and data pipeline experience.
  • Experience with AWS and data warehousing concepts.
  • Familiarity with Docker and Kubernetes for deployment.
  • Exposure to GraphQL or Infrastructure as Code (Terraform).
  • Knowledge of dimensional modelling/Medallion Architecture is a plus.

Responsabilidades

  • Backend Engineering: design, build and maintain scalable backend services using Python.
  • Develop new product features and reusable backend architectures.
  • Improve system performance, reliability, security and maintainability.
  • Integrate LLMs into existing products, workflows, backend services and data systems.
  • Collaborate with Product, Frontend and other engineers.
  • Write clean, well-tested and well-documented code.
  • Show strong Python programming and production software experience.
  • Follow OO design and software development principles.
  • Work with SQL and AWS data services.
  • Build/maintain ETL/ELT pipelines and analytical data stores.
  • Leverage Docker/Kubernetes and IaC tools as needed.
  • Explore GraphQL or Terraform for infra and APIs.
  • Work with ClickHouse/Redshift or similar databases.
  • Be ready to grow from backend into data engineering.

Conocimientos

Python
Backend engineering
SQL
Data engineering
ETL/ELT pipelines
GraphQL
Terraform / IaC
Medallion Architecture
Dimensional data modelling
Redshift
ClickHouse
AWS

Herramientas

Docker
Kubernetes
Terraform

Descripción del empleo

Backend Python Developer Mentor Talent Acquisition

Almería, almería (comarca); provincia de almería; andalucía, Spain

Remote option available with quarterly office visits for one week in Vienna.

About the company The team is ambitious and international, working on an exciting AI‑first product with the opportunity to work with modern technologies while helping shape the future of finance. The company empowers business leaders to make better strategic decisions in financial management, reporting and planning. Its mission is to help companies connect, analyze, forecast and automate all their financial data in one place. It is backed by renowned investors, including Atlantic Labs, CommerzVentures and founders of Wefox, and is building the next generation of AI‑native finance software. The company is looking for a Backend Engineer to help connect its backend and data infrastructure with LLM‑powered features, agents and self‑service capabilities. This role is primarily backend‑focused: designing and building scalable services, APIs and business logic using Python. Experience with data engineering (ETL/ELT pipelines, AWS data services, dimensional modelling) is a strong advantage and something the team will actively help develop further, but it is not a requirement. What matters most is strong backend engineering fundamentals combined with curiosity and a genuine interest in eventually working across data and AI product engineering as well. Backend and Data Engineering work closely together at the company, and engineers benefit from understanding both worlds. Someone who comes in strong on backend will be supported in growing into data engineering over time.

Job Responsibilities and Qualifications
  • Backend Engineering Design, build and maintain scalable backend services using Python.
  • Develop new product features and reusable backend architectures.
  • Improve system performance, reliability, security and maintainability.
  • Integrate LLMs into existing products, workflows, backend services and data systems.
  • Collaborate closely with Product, Frontend and other engineers.
  • Write clean, maintainable, well‑tested and well‑documented code.
  • Strong Python programming skills.
  • Experience building and operating production software.
  • Good understanding of object‑oriented programming and software design principles.
  • Solid SQL knowledge.
  • Experience with AWS.
  • Experience with ETL or ELT pipelines.
  • Experience with dimensional data modelling or Medallion Architecture.
  • Experience with Docker and Kubernetes.
  • Familiarity with GraphQL or Terraform / Infrastructure as Code.
  • Experience with ClickHouse, Redshift or other analytical databases.
  • Being strong in both backend and data engineering from day one isn't required - what matters most is bringing strong backend fundamentals and motivation to grow.

Office in the heart of Vienna, or remote with quarterly office weeks in Vienna.

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