At JTI we celebrate differences, and everyone truly belongs. 46,000 people from all over the world are continuously building their unique success story with us. 83% of employees feel happy working at JTI.

 

To make a difference with us, all you need to do is bring your human best.

 

What will your story be? Apply now!  

Learn more: jti.com

 

 

 

 

Data Engineer

 

The Data Engineer's role works under the guidance of senior data engineers to maintain and develop pipelines in JTI’s Central Data Lake Platform. The incumbent will analyze, organize, and combine raw data from different sources and build the corresponding data systems and pipelines to ensure that business needs and objectives are met with the data delivered. 

 

As the Data Engineer in the area of Information Technology, you will: 

 

Develop modern data solutions with Azure Data Factory, Data Lake, Databricks, Azure SQL and Synapse Perform UAT and performance & regression testing of new and existing developments to ensure accurate and efficient operation using standard processes. Support production systems including issue resolution. Develop enhancements and changes based on functional or technical specifications. Monitor system and project pipeline performance

 

Requirements: 

University Degree in Computer or Technical Science or strong IT background, plus additional business education 1+ year of experience in Data and Analytics from modeling and reporting standpoint 1+ year of exposure to IT architecture and solutions for data flows among systems and applications. 1+ year of experience in delivering solutions on the Microsoft Azure platform with a special emphasis on data solutions and service. Fluent in English (Written and spoken). 

Additional skills required:

Experience with ETL tools preferably Azure Data Factory and Databricks (or similar) Azure Data Lakes experience is a big plus Very good Database skills (Azure SQL and Synapse), scripting and data modeling. Experience on Azure or any similar cloud platform such as Amazon/Google Cloud are a must. Must have an experience on Python and PySpark/Spark. Familiar with OLTP vs. OLAP (star schema, snowflake schema, experience with data warehousing).

 

Are you ready to join us? Build your success story at JTI. Apply now!

Next Steps:

 

After applying, if selected, please anticipate the following within 1-3 weeks of the job posting closure: Phone screening with Talent Advisor > Assessment tests > Interviews > Offer. Each step is eliminatory and may vary by role type.

 

At JTI, we strive to create a diverse and inclusive work environment. As an equal-opportunity employer, we welcome applicants from all backgrounds. If you need any specific support, alternative formats, or have other access requirements, please let us know.