Data Engineer

You want to join a company that places people at the heart of its concerns? We are waiting for you at Extia!

As a consulting company specialized in IT and digital sectors, Extia has prioritized an approach that combines performance and well-being at work since its creation in 2007. This vision is shared today by more than 2,500 Extians across France and internationally, and has been recognized by the Great Place to Work® certification for 15 years!

We believe in equal opportunity and offer every candidate the chance to reveal their potential, without distinction of any kind. At Extia, it's "First who, then what" so, let's do it!

First who

Strong problem-solving skills with the ability to break down complex challenges into practical solutions

Excellent communication skills, able to explain technical concepts to both technical and non-technical stakeholders

Business-oriented mindset with an understanding of how data supports organizational goals

Then what

What You’ll Do

• Design, develop, and maintain scalable data lake pipelines using Python and PySpark.
• Analyze business and technical requirements and propose robust data architecture solutions within the data lake ecosystem.
• Gather, document, validate, and manage application requirements in an Agile environment.
• Develop and implement data solutions, ranging from simple enhancements to complex use cases, with a focus on automation and operational efficiency.
• Maintain and optimize existing data processes while providing technical support to internal users.
• Collaborate closely with Data Engineers, BI Developers, Data Analysts, Business Analysts, Software Developers, and business stakeholders to deliver high-quality, data-driven solutions.
• Contribute to local initiatives throughout the entire project lifecycle, including assessment, use case identification, data preparation, implementation, and industrialization.
• Identify opportunities to improve existing processes, optimize performance, and promote continuous improvement.

What We’re Looking For

• 5+ years of professional experience in Data Engineering or a similar role.
• At least 4 years of hands-on experience with Big Data and NoSQL technologies, including Hadoop, HDFS, Hive, Kerberos, and Starburst.
• Strong experience developing data pipelines using Python and PySpark (Apache Spark experience is a plus).
• Solid understanding of data modeling principles and advanced SQL.
• Experience with source code management tools such as Git.
• Familiarity with DevOps practices and CI/CD tools, including Jenkins, XL Deploy, and XL Release.
• Experience using Visual Studio Code or similar development environments.
• Knowledge of Agile methodologies and frameworks (Scrum/Kanban).
• Experience working with REST APIs is considered an advantage.
• Knowledge of Shell scripting, execution plan optimization, or performance tuning is a plus.
• Familiarity with Power BI, Power Apps, Power Automate, SSAS, SSIS, Azure, SharePoint Online, or Dataverse is advantageous.
• Microsoft Power Platform or Azure certifications (PL-100, PL-200, PL-300, PL-400, PL-500, PL-600, PL-700, PL-900, DP-Series) are considered a plus.