Java Data Platform Engineer — ELT, APIs & Data Lakes

Editx; Schaarbeek; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Editx is seeking a backend data engineering professional to develop and maintain data pipelines and core APIs for the central content platform. The role involves ELT processes and integrating diverse source systems into data lakes and warehouses.

You will collaborate with solution architects, define technical choices, and ensure scalable, high-quality data-driven solutions in an Agile/Scrum setting.

Qualifications

• Experience building data pipelines and backend services using Java 21, Python and Go.
• Experience implementing ELT processes and managing data integrations into a data lake/data warehouse.
• Experience building and maintaining backend APIs powering a central content platform.
• Ability to collaborate with solution architects to define technical choices and expand platform architecture.
• Ability to ensure quality, performance and scalability of data-driven solutions.
• Experience participating in Agile/Scrum environments with code reviews and documentation.

Responsabilités

• Develop and maintain data pipelines and backend services using Java 21, Python, and Go.
• Implement ELT processes and manage data integrations from diverse source systems into a data lake and data warehouse.
• Build and maintain core backend APIs that power the central content platform.
• Collaborate with solution architects to define technical choices and expand the platform architecture.
• Ensure the quality, performance, and scalability of data-driven solutions.
• Participate actively in an Agile/Scrum environment, contributing to code reviews and technical documentation.

Outils

Java 21

Python

Go

APIs

ELT

Description du poste

Editx is seeking a backend data engineering professional to develop and maintain data pipelines and core APIs for the central content platform. The role involves ELT processes and integrating diverse source systems into data lakes and warehouses.

You will collaborate with solution architects, define technical choices, and ensure scalable, high-quality data-driven solutions in an Agile/Scrum setting.