Data Engineer Manager

Madrid, M, ES, 00-000

Japan Tobacco International

JTI is a global tobacco and vaping company focused on innovation and sustainability. Our brands include Winston, Camel, Mevius, LD, Logic and Ploom.

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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 Manager

 

What this role is about?

 

The Data Engineer Manager role is to develop and maintain efficient and scalable Data projects in the JTI’s Central Data Lake Platform. You will ensure efficient and qualitative development support for relevant global applications and projects under the Data Platform and Operations team governance. You 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. You will explore new ways to enhance data quality and reliability with the aim to provide the most optimal data assets for Data Analyst and Data Scientists to consume. You will ensure that reporting consultants will timely assess and implement global changes and projects. You will be responsible for coordinating the solution delivery by reviewing and monitoring the development efforts, project plans, and assignments.

 

What will you do?

 

• Implement modern data solutions with Azure Data Factory, Data Lake, Databricks, Azure SQL and Synapse

• Analyze the impact of new and evolving business requirements and explore the feasibility of how to accommodate them.

• Work with Data & Analytics, IT-BTS, and Functions together with external development teams to ensure that the configuration and customization meet business requirements and performance baseline.

• Follow up with external developers on problems & incidents related to Central Data Lake Platform processes and failures, and ensure that the cause is identified and fixed.

• Perform UAT and performance & regression testing of new and existing developments to ensure accurate and efficient operation using best practices.

• Support production systems including issue resolution.

• Develop enhancements and changes based on functional or technical specifications.

• Monitor system and project pipeline performance

 

What are we looking for?

 

  • College or University degree
  • 10+ years of experience in Data and Analytics from a modeling and reporting standpoint
  • 5+ exposure to IT architecture and solutions for data flows among systems and applications.
  • 3+ years delivering solutions on the Microsoft Azure platform with a special emphasis on data solutions and services
  • DevOps, CI/CD, and Data project management
  • Strong analytical skills and troubleshooting skills
  • Excellent team leadership and communication skills.
  • Should have good knowledge of testing and validating Analytical solutions
  • Azure Data Lakes experience plus Databricks and Data Factory
  • Very good understanding of Azure PaaS management and resource monitoring
  • CI/CD experience and DevOps
  • Very good Database skills (Azure SQL and Synapse), scripting and data modeling
  • Very good written and spoken English.

 

 

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 TA > 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. We are committed to providing reasonable adjustments to applicants with special needs. If you require any accommodations, please let the Talent Advisor know during the selection process.

 

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Tags: Architecture Azure CI/CD Databricks Data quality DevOps Pipelines SQL Testing

Region: Europe
Country: Spain

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