Senior 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 with 5+ years of experience to design, build, and deploy at-scale infrastructure. You will be responsible for building and maintaining architecture patterns for data processing, working closely with data scientists, and ensuring efficient, automated processes. This role requires expertise in Big Data and Cloud technologies, strong SQL and Python skills, and experience with dbt and Data Vault. The ideal candidate will also possess excellent communication skills and be ready to start within four weeks. Xebia offers a collaborative environment and opportunities for professional growth.

Requirements

• Be ready to start within 4 weeks
• Have 5+ years’ experience with data engineering
• Have hands-on experience with dbt
• Have Data Vault expertise
• Have strong SQL skills
• Have Python scripting proficiency
• Have experience with data manipulation libraries (such as Pandas, NumPy, PySpark)
• Have experience in structuring and modelling data in both relational and non-relational forms
• Be able to elaborate and propose relational/non-relational approach
• Have experience designing for transactional and analytical operations
• Have working knowledge of Git
• Have good verbal and written communication skills in English
• Work from the European Union region and have a work permit

Responsibilities

• Be responsible for at-scale infrastructure design, build and deployment with a focus on distributed systems
• Build and maintain architecture patterns for data processing, workflow definitions, and system to system integrations using Big Data and Cloud technologies
• Evaluate and translate technical design to workable technical solutions/code and technical specifications at par with industry standards
• Drive creation of re-usable artifacts
• Establish scalable, efficient, automated processes for data analysis, data model development, validation, and implementation
• Work closely with analysts/data scientists to understand impact to the downstream data models
• Write efficient and well-organized software to ship products in an iterative, continual release environment
• Contribute and promote good software engineering practices across the team
• Communicate clearly and effectively to technical and non-technical audiences
• Define data retention policies
• Monitor performance and advise any necessary infrastructure changes

Preferred Qualifications

Have experience with GCP