BI Engineer

at  SGS

Company Description
We are SGS – the world’s leading testing, inspection and certification company. We are recognized as the global benchmark for sustainability, quality and integrity. Our 99,600 employees operate a network of 2,600 offices and laboratories, working together to enable a better, safer and more interconnected world.
Job Description
The Global Technology Office is an internal team supporting the entire SGS business by implementing Data & BI solutions that optimize processes and create value for clients, using an agile approach, hybrid teams, and fast delivery.
As a BI Engineer, you will develop and maintain data solutions (back and front end) using Azure Data Platform and Power BI, with a focus on BI, streaming, and big data. You’ll own the design, implementation, and testing of solutions, while collaborating across SGS teams. A key member of the NextGen Data Intelligence Team, you’ll contribute to delivering data products per the NextGen Data roadmap.

QUALIFICATIONS

• 4+ years in cloud-based BI solutions.
• Experience translating business requirements to BI, data warehouses, or marts.
• Strong data modeling skills, with a focus on dimensional modeling and OLAP.
• Deep knowledge of several of the following Azure-based data services and platforms like Data Factory, Synapse, Azure SQL Database, Power BI, Event Hub, Azure Functions, Databricks, Analysis Services, Fabric, Snowflake; awareness and relevant tools similar to these ones;
• Advanced Power BI and DAX knowledge.
• Experience with CI/CD (Azure DevOps/GitHub).
• Ability to write clear an well-structured technical documentation using DevOps central document repository. Jira or other similar tools will be a plus;
• Ability to work collaboratively and effectively with people at all levels in an organization;
• Ability to communicate complex ideas effectively – both verbally and in writing – in English (must) and Spanish.
  Additional Information

• Implement data/BI solutions (pipelines, data marts, reports, visualizations) aligned with SGS governance and best practices.
• Apply Agile methodologies and CI/CD processes.
• Develop and maintenance (evolutive, corrective and adaptative) of data and business intelligence projects as data warehouses or data marts;
• Contribute to the continuous improvement of the SGS Data & BI Framework;
• Stay updated on data trends and improve the Data & BI Framework.