Senior Data Engineer ID2264

As a Senior Data Engineer you will:

• Prepare and make source data available in the Azure Cloud ensuring its quality and readiness for further use.
  
• Develop and maintain datamarts that serve as the foundation for new dashboards and information products.
  
• Design and implement various data models including object conceptual and dimensional models.
  
• Manage and maintain existing data products ensuring their smooth operation within a DevOps environment.
  
• Collaborate closely with your team and other stakeholders to deliver endtoend data solutions from development to production.
  
• Contribute to the creation of a robust data foundation that supports decisionmaking models dashboards and analytics.
  

What You Bring to the Table:

• At least 5 years of experience as a Data Engineer or in a similar role within an ETLBI/DWH environment.
  
• Proven experience with Snowflake / SNOWsight and strong expertise in data modeling (object conceptual and dimensional).
  
• Solid experience in data integration deployment automation and version control.
  
• A strong understanding of designing and implementing data pipelines from source to enduser ensuring robust code with processing and data quality controls.
  
• Ability to deliver tested and documented solutions ensuring smooth production deployment.
  
• A completed HBO or WO education ensuring a strong academic foundation.
  

You should possess the ability to:

• Develop and manage data pipelines in a cloud environment particularly using Azure Stack tools like Data Factory and ADLS.
  
• Model data effectively to support various business needs including the development of dashboards and analytics.
  
• Collaborate within a DevOps framework managing both new developments and the maintenance of existing solutions.
  
• Ensure high data quality and integrity through robust testing and validation processes.
  
• Work independently and take endtoend responsibility for your data environment.
  

What we bring to the table:

• The opportunity to work on a cuttingedge modular data platform transition.
  
• A collaborative and innovative work environment where knowledge sharing and continuous learning are encouraged.
  
• Access to the latest tools and technologies including Snowflake GIT Azure Stack and more.
  
• A role that allows you to make a significant impact by building a solid data foundation for various business functions.
  
• Competitive compensation and the chance to work on highimpact projects that drive business decisions.
  

As a Senior Data Engineer, you will: Prepare and make source data available in the Azure Cloud, ensuring its quality and readiness for further use. Develop and maintain datamarts that serve as the foundation for new dashboards and information products. Design and implement various data models, including object, conceptual, and dimensional models. Manage and maintain existing data products, ensuring their smooth operation within a DevOps environment. Collaborate closely with your team and other stakeholders to deliver end-to-end data solutions, from development to production. Contribute to the creation of a robust data foundation that supports decision-making models, dashboards, and analytics. What You Bring to the Table: At least 5 years of experience as a Data Engineer or in a similar role within an ETL-BI/DWH environment. Proven experience with Snowflake / SNOWsight and strong expertise in data modeling (object, conceptual, and dimensional). Solid experience in data integration, deployment automation, and version control. A strong understanding of designing and implementing data pipelines from source to end-user, ensuring robust code with processing and data quality controls. Ability to deliver tested and documented solutions, ensuring smooth production deployment. A completed HBO or WO education, ensuring a strong academic foundation. You should possess the ability to: Develop and manage data pipelines in a cloud environment, particularly using Azure Stack tools like Data Factory and ADLS. Model data effectively to support various business needs, including the development of dashboards and analytics. Collaborate within a DevOps framework, managing both new developments and the maintenance of existing solutions. Ensure high data quality and integrity through robust testing and validation processes. Work independently and take end-to-end responsibility for your data environment. What we bring to the table: The opportunity to work on a cutting-edge modular data platform transition. A collaborative and innovative work environment where knowledge sharing and continuous learning are encouraged. Access to the latest tools and technologies, including Snowflake, GIT, Azure Stack, and more. A role that allows you to make a significant impact by building a solid data foundation for various business functions. Competitive compensation and the chance to work on high-impact projects that drive business decisions.