Data Engineer

Take a step forward and let Edenred surprise you.

Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world. 

We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment. 

Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.

Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities.

We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.

The Data Engineer supports and improves the data capabilities in terms of collecting, managing, and converting raw data into information that can be interpreted by data analysts and data scientists. The goals will be to define, build and improve the tools and procedures for data pipelining, functional and unit testing to enhancing reporting and advanced analytics in an ever-changing data infrastructure. They will have to communicate effectively to a non-technical audience that includes a wide range of customers from various countries and business lines.

Responsibilities:
• 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

Apply now and Vibe with Us!