Data Engineer

Build the data pipeline and have an optimal ETL process to populate a reporting optimized database using Microsoft Azure
Monitor and manage data pipelines, ensuring data accuracy and stability
Design the architecture, build, and deploy the data platform that provide intuitive analytics across the business
Design and grow the data platform to support a variety of data use case (batch analysis, real-time analytics, data science )
Define, improve, and apply a Data governance framework
Collaborate with the business teams, challenge them functionally on their new needs and analyse the technical feasibility
Evangelize the releases to user, gathering feedback and tracking usage to improve future evolution
Identify and improve delivery (data project management, automating manual processes, optimizing data delivery, re-designing architecture for greater scalability )
Enliven the local data community
Identify use-cases and collaborate with eQ on potential projects
Implement DevOps platform, framework, tools and continuous improvement/continuous delivery for data engineering projects

Your Profile:
Bachelor s or Master s degree in Computer Science, Engineering, Information Technology, or a related field.


2-3 years proven experience as a Data Engineer or in a similar role, with a focus on building and optimizing data pipelines and architectures.


Hands-on experience with ETL processes and tools, particularly in Microsoft Azure environments.


Experience with data warehousing solutions and reporting-optimized databases
Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences.


Strong analytical and problem-solving abilities.


Ability to work collaboratively with cross-functional teams and challenge business teams functionally on new requirements.


Ability to manage multiple tasks and projects simultaneously in a fast-paced environment.


Proactive and innovative mindset, with a focus on continuous improvement