Data Engineer
Publication date:
30 January 2025Workload:
100%Contract type:
Unlimited employment- Place of work:Interlaken
Job summary
Join JTI as a Data Engineer and be part of a diverse team! Enjoy a supportive work environment with amazing opportunities.
Tasks
- Develop and maintain pipelines in JTI's Central Data Lake.
- Analyze and organize raw data from various sources.
- Build data systems to meet business objectives and needs.
Skills
- Experience in data engineering or related fields required.
- Proficiency in SQL and data modeling essential.
- Strong analytical and problem-solving skills needed.
Summary from the original job ad
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Title: Data Engineer
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
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:
Requirements:
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.
Job Segment: Data Modeler, Database, SQL, Data Warehouse, Engineer, Data, Technology, Engineering
