Data Engineer Manager
Title: Data Engineer Manager
Bucharest, RO, 00000
We are JTI, Japan Tobacco International, and we are present in 130 countries. We have spent years innovating, creating new and better products for the consumers to choose from. This is our business. But not only. Our business is our people. Their talent. Their potential. We believe that when they are free to be themselves, and they are given the opportunity to grow, travel and develop, amazing things can happen.
That’s why our employees, from around the world, choose to be a part of JTI. It is why 80% of employees feel happy working at JTI. And why we’ve been awarded Global Top Employer status, ten years running.
So when you’re ready to choose a career you’ll love, in a company you’ll love, feel free to #JoinTheIdea.
Learn more: jti.com
Data Engineer Manager
What this role is about?
This role is to develop and maintain efficient and scalable data projects in the JTI’s Central Data Lake Platform. The incumbent will ensure the efficient and qualitative development support for global relevant applications and projects under the Data Platform and Operations team governance. 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. He/She will explore new ways to enhance data quality and reliability with the aim to provide most optimal data assets for Data Analyst and Data Scientists to consume. The incumbent has to ensure that reporting consultants will timely assess and implement global changes and projects. He/she also coordinates 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, Synapse, Azure Analysis Services and Power BI
- 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 in order 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, 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, changes based upon functional or technical specifications
- Monitor system and projects pipelines performance
What are we looking for?
- Strong analytical skills and troubleshooting skills
- Excellent team leadership and communication skills
- Should have good knowledge in testing and validating analytical solutions
- Azure Data Lake experience plus Databricks, Data Factory, Azure Analysis Services, SSAS, Power BI
- 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
What are the next steps – Recruitment Process:
Thank you very much for your interest in the role. You are welcome to apply. We will make sure every candidate will receive a reply within 2 weeks after the application deadline. Should you have any questions, you are welcome to contact Kasia Graj – Talent Advisor (katarzyna.graj@jti.com).
Job Segment: Data Analyst, Data Modeler, Data Management, Engineering Manager, Database, Data, Engineering, Technology
