Data Engineer

Summary

Join Xebia, a global leader in digital solutions, and become a key member of our team. We are seeking a skilled Data Engineer to design and implement data processing frameworks leveraging GCP Cloud Native Services. You will ensure data integrity and work collaboratively with cross-functional teams. The ideal candidate will have experience in data processing, GCP, and data engineering best practices. A short notice period and evening availability are required. This role offers the opportunity to work on innovative global projects and contribute to a company known for its technological excellence and commitment to employee development.

Requirements

• Available to start within a short time frame (a maximum one month’s notice)
• Openness to work in the evening (6-9 pm CET) is required
• Designing and implementing the Data Processing Framework leveraging GCP Cloud Native Services
• Ensuring data integrity, consistency, and availability across all data systems
• Working closely with cross-functional teams including Engineering, Business Analytics, Data Science and Product Management to understand data requirements and deliver solutions
• Collaborating with data engineers to ensure data engineering best practices are integrated into the development process
• Developing documentation and standards for data processes and procedures
• Work from EU and a work permit to work from EU are required

Responsibilities

• Designing and implementing the Data Processing Framework leveraging GCP Cloud Native Services
• Ensuring data integrity, consistency, and availability across all data systems
• Working closely with cross-functional teams including Engineering, Business Analytics, Data Science and Product Management to understand data requirements and deliver solutions
• Collaborating with data engineers to ensure data engineering best practices are integrated into the development process
• Developing documentation and standards for data processes and procedures

Preferred Qualifications

• Knowledge of data visualization tools (e.g., Tableau, Looker)
• Understanding of machine learning and data analytics
• Certification in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc.)