Senior Data Engineer

il y a 5 jours


Luxembourg, Luxembourg Sogeti, part of Capgemini Temps plein

You will design, develop, and implement data solutions using Microsoft technologies. You will collaborate with cross-functional teams to understand business requirements, develop data models, and ensure data quality and governance. Your role is critical in enabling data-driven decision-making and supporting the organization's data strategy.

  • Design and implement scalable data architectures using Microsoft Azure Data Platform;
  • Develop and maintain ETL (Extract, Transform, Load) and data pipelines processes using Microsoft Fabric, Azure Data Factory, SSIS, or other relevant tool;
  • Create data models and schemas optimized for analytics and reporting;
  • Develop, optimize, and maintain SQL databases (Azure SQL Database, SQL Server);
  • Leverage Azure services (Azure Data Lake, Azure Synapse Analytics, Azure Databricks) for big data processing and advanced analytics;
  • Implement data storage solutions using Azure Blob Storage, Data Lake Storage, or similar technologies.
  • Strong SQL programming skills;
  • Proficiency in data modeling and database design;
  • Experience with data visualization tools like Power BI;
  • Knowledge of Python, R, or similar programming languages is a plus;
  • Fluent in English, French or German would be an asset;
  • 5+ years university degree in Computer Science, Information Technology, Data Science, or a related field;
  • At least 5 years of professional experience; or any equivalent combination of training, education and experience that demonstrates the ability to perform the duties of the position;
  • Microsoft Certified: Azure Data Engineer Associate or similar certification.

A background check within the framework PSF will be requested upon hiring (criminal record, Education degrees, diplomas & certifications).

Sogeti Luxembourg is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made based on performance, competence and ability.


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