Senior Python Backend Engineer for Energy Data & APIs

ictjob.be; Brussel; Sur place; EUR 70 000 - 95 000; Plein temps

Résumé du poste

ictjob.be is seeking a Python backend engineer to develop backend services for asset onboarding and market operations. You will build APIs and data pipelines to connect internal and external data sources, and implement real-time data ingestion with MQTT and RabbitMQ.

You will work with PostgreSQL for relational/time-series data, and leverage AWS (RDS, S3, IAM, Lambda, ECS) and Docker within scalable architectures. Collaboration with product teams and agile ceremonies is expected.

Qualifications

• Design and implement Python backend services for asset onboarding and market operations.
• Develop APIs and data pipelines to integrate applications with internal and external data systems.
• Build real-time data ingestion integrations using MQTT and RabbitMQ.

Responsabilités

• Design and implement Python backend services for asset onboarding, contract management, and market operations.
• Develop APIs and data pipelines to integrate applications with internal and external data systems.
• Build real-time data ingestion integrations using MQTT and RabbitMQ.
• Model, optimize, and ensure data integrity in PostgreSQL for relational and time-series datasets.
• Utilize AWS services including RDS, S3, IAM, Lambda, ECS and Docker in solution architectures.
• Collaborate with product managers and domain experts to translate business requirements into scalable software features.
• Participate in agile ceremonies such as sprint planning, retrospectives, and team coordination.

Connaissances

Python

Backend development

PostgreSQL

AWS

Data pipelines

MQTT

RabbitMQ

Docker

Outils

Docker

Description du poste

ictjob.be is seeking a Python backend engineer to develop backend services for asset onboarding and market operations. You will build APIs and data pipelines to connect internal and external data sources, and implement real-time data ingestion with MQTT and RabbitMQ.

You will work with PostgreSQL for relational/time-series data, and leverage AWS (RDS, S3, IAM, Lambda, ECS) and Docker within scalable architectures. Collaboration with product teams and agile ceremonies is expected.