Data Engineer

Who We Are

Founded in 2006, CXG is a global business with 12 offices operating across four continents in 70 countries, from Shanghai to Paris. We are home to over 250 professionals from around the world, working together to serve more than 230 luxury clients.

At CXG, we are passionate about evolving, elevating, and transforming experiences while bringing brand promises to life. We offer strategic solutions that impact performance and elevate the customer experience of some of the world's most iconic premium and luxury brands.

Your Role as Data Engineer

We are growing and actively seeking a talented Data Engineer to join our remote team. In this role, you will be instrumental in managing and optimizing our data infrastructure.

Key Responsibilities

• Maintain and manage website scraping configurations using Python.
• Monitor scraping configurations for errors and potential crashes.
• Oversee retrieved data to detect potential issues and blockages.
• Coordinate with stakeholders to understand scraping task requirements and report issues.
• Prepare and share periodic reports on scraping activities with stakeholders.
• Develop necessary pipelines to ingest data into the Datalake and perform required transformations.

What You Will Bring

• Minimum 2 years of experience in a similar role.
• Proven experience in data engineering with expertise in designing and implementing scalable data architectures.
• Strong experience with ETL processes, data modeling, and data warehousing (Airflow & DBT preferred).
• Expertise in database technologies, both relational (SQL) and NoSQL.
• Knowledge of cloud platforms, particularly Azure.
• Solid understanding of data security measures and compliance standards.
• Excellent Python experience for data engineering and automation.
• Strong collaboration skills to work closely with data scientists and analysts.
• Ability to optimize data pipelines for performance and efficiency.
• Ability to build, test, and maintain tasks and projects.
• Experience with version control systems, such as Git.
• Hands-on experience with Airflow and/or DBT.
• Experience with Terraform for infrastructure management.
• Strong academic background in a relevant field.
• Fluent in English (French is a plus).

Key Skills/Competency

• Data Engineering
• Python
• ETL
• Data Modeling
• Data Warehousing
• Azure
• SQL
• NoSQL
• Airflow
• DBT