Backend Software Engineer-Data Integration

QAD; Barcelona; A distancia; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading software company in Spain is seeking a skilled Backend Software Engineer specialized in Data Integration to join its team. This fully remote role involves developing APIs and managing data workflows for high-volume data processing. Candidates should have strong Python skills, experience with SQL, and knowledge of cloud infrastructure. A minimum of 5 years in data integration is required, along with proficiency in English.

Formación

• Strong proficiency in Python and integration frameworks.
• Solid knowledge of SQL databases.
• Proven experience with queue management and real-time ingestion.
• Demonstrated expertise in backend API development.
• Good understanding of cloud infrastructure (AWS, Kubernetes).
• Experience designing and maintaining data orchestration workflows using Airflow.

Responsabilidades

• Develop robust and optimized APIs in Python.
• Ensure real-time data ingestion and queue management (RabbitMQ, Kafka, or similar).
• Manage large-scale SQL databases.
• Optimize integration processes for maximum performance.
• Contribute to the architecture of cloud-based solutions (AWS, Kubernetes).
• Design, develop, and maintain Airflow DAGs to orchestrate data workflows.

Conocimientos

Python

SQL databases

Queue management

Backend API development

AWS

Kubernetes

Airflow

Descripción del empleo

Job Description

We are looking for a Backend Software Engineer specialized in Data Integration to strengthen our team. You will be responsible for integrating, preparing, and processing data from multiple sources. Your role will include the development of connectors, APIs, and queue management for high-volume data processing.

QAD Process Intelligence is a division of the QAD Group specializing in Process Mining and Agentic AI. This position is part of a strategic initiative to transform data analysis and artificial intelligence for the benefit of our clients.

The role is a fully remote from Spain.

What you will do :

• Develop robust and optimized APIs in Python
• Ensure real-time data ingestion and queue management (RabbitMQ, Kafka, or similar)
• Manage large-scale SQL databases
• Optimize integration processes for maximum performance
• Contribute to the architecture of cloud-based solutions (AWS, Kubernetes)
• Design, develop, and maintain Airflow DAGs to orchestrate data workflows

Qualifications

Required Skills

Strong proficiency in Python and integration frameworks

Solid knowledge of SQL databases

Proven experience with queue management and real-time ingestion

Demonstrated expertise in backend API development

Good understanding of cloud infrastructure (AWS, Kubernetes)

Experience designing and maintaining data orchestration workflows using Airflow

Preferred Qualifications

Experience with distributed systems

Familiarity with monitoring and logging tools

Profile

Minimum of 5 years of professional experience in data integration or a similar role

Ability to work independently and as part of a team

Strong problem-solving and optimization skills

Proficient knowledge of English language is a must

Additional Information