Data Engineer - Web Scraping (3 months contract)

We are seeking a skilled Data Engineer specializing in web scraping to join our team remotely on a 3-month contract. This role involves maintaining and optimizing web scraping configurations, ensuring data quality, and collaborating with various stakeholders to support data-driven decision-making. The ideal candidate will have a strong background in data engineering, proficiency in Python, and experience working with cloud platforms and data pipeline tools.

Key Responsibilities
- Maintain and manage web scraping configurations using Python to ensure reliable data extraction.
- Monitor scraping processes to identify and resolve errors or potential failures promptly.
- Oversee the quality and integrity of retrieved data, detecting issues or blockages that may impact downstream processes.
- Collaborate with stakeholders to understand scraping requirements, communicate challenges, and report progress.
- Prepare and distribute regular reports on scraping activities and data status to relevant teams.
- Develop and maintain data pipelines to ingest scraped data into the Datalake, performing necessary transformations for analysis and reporting.

Required Qualifications
- Proven experience in data engineering with a focus on designing and implementing scalable data architectures.
- Strong expertise in ETL processes, data modeling, and data warehousing; familiarity with Airflow and DBT is preferred.
- Proficiency in both relational (SQL) and NoSQL database technologies.
- Experience working with cloud platforms, particularly Microsoft Azure.
- Solid understanding of data security practices and compliance standards.
- Advanced Python skills for data engineering tasks and automation.
- Ability to collaborate effectively with data scientists, analysts, and other cross-functional teams.
- Skilled in optimizing data pipelines for performance and efficiency.
- Experience building, testing, and maintaining data engineering projects and workflows.
- Familiarity with version control systems such as Git.
- Hands-on experience with Airflow and/or DBT for workflow orchestration and transformation.
- Practical knowledge of Terraform for infrastructure as code and environment management.
- Minimum of 2 years’ experience in a similar data engineering role.
- Strong academic background in a relevant field such as Computer Science, Engineering, or Data Science.
- Fluency in English is required; proficiency in French is considered a plus.

Preferred Qualifications and Benefits
While not explicitly detailed, candidates with additional language skills and experience working with luxury retail or customer experience data will find this role particularly rewarding. Joining CXG means becoming part of a global team dedicated to transforming customer and employee experiences for over 200 luxury brands worldwide. You will contribute to impactful projects that blend research, technology, and human expertise to elevate customer interactions on a global scale.

Founded in 2006, CXG is a leader in customer experience transformation, combining data-driven retail performance with operational execution. Our 270 collaborators are passionate about delivering measurable impact through tailored insights, strategy, and implementation. This contract position offers the opportunity to work remotely with a dynamic team focused on innovation and excellence in the luxury retail sector.