Senior Analytics Engineer

Summary

Join Xebia, a global leader in digital solutions, and become a key member of our team. You will be responsible for gathering business requirements, developing data pipelines, designing data models, creating reports and dashboards, and presenting results to support business decision-making. This role requires strong proficiency in cloud platforms (GCP/AWS/Azure) and experience with dbt, SQL, Python, and BI tools. You will work with business teams to define and implement analytics use cases, ensuring technology solutions align with business needs. Excellent communication skills and a work permit within the European Union are essential. The successful candidate will also have active VAT status in the EU VIES registry.

Requirements

• Strong proficiency in GCP/AWS/Azure, with expertise in BigQuery/Redshift/Databricks
• Solid experience with dbt (Data Build Tool)
• Ability to transform and model data using dbt, including creating logical data models and optimizing them for business analytics
• Advanced proficiency in SQL and Python
• Ability to integrate data from various sources, also in streaming mode
• Experience with BI tools (e.g., Power BI, Looker) to visualize data
• Ability to work with business teams to define and implement analytics use cases
• Ability to communicate and adapt technology solutions to business needs
• Excellent command of oral and written English
• Work from the European Union region and a work permit are required
• Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies

Responsibilities

• Gathering business requirements for data solutions (reports, analysis)
• Providing guidance on metrics for monitoring business performance
• Overseeing, developing data pipelines, and executing data transformations (primarily in SQL)
• Designing and implementing data models within a BI tool
• Creating reports and dashboards
• Validating and testing data
• Presenting results to the business and supporting decision-making based on insights
• Sharing knowledge on data literacy
• Keeping current with the latest trends and best practices in analytics engineering