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Professional Area Information Technology / Data & Analytics

Role Permanent

Professional Level Manager

Reporting to D&IT Data Team Manager

Data Engineer Manager

As a Data Engineer Manager, you will design, develop, and manage scalable data solutions that support business intelligence and analytics across Markets & Regions. You will lead the development of end-to-end data pipelines, drive technical excellence within Azure-based data platforms, and collaborate with cross-functional teams to deliver reliable, secure, and high-quality data solutions. This role also plays a key part in continuous improvement initiatives, ensuring efficient data operations and supporting Agile delivery practices.

As a Data Engineer Manager, you will

Design, develop, maintain, and support end-to-end data pipelines and workflows across Azure-based platforms
Build scalable, secure, and cost-effective data solutions that meet business requirements and data quality standards
Lead and contribute to ETL/ELT development, testing, deployment, and continuous improvement activities
Support platform configuration, deployments, and change promotions across development, testing, and production environments
Provide technical support for incident resolution, user acceptance testing (UAT), and post-deployment activities
Collaborate with data engineers, analysts, IT teams, and external partners to deliver high-quality data services
Implement and support CI/CD pipelines using Azure DevOps to enable efficient deployment and release processes
Ensure technical documentation, data governance requirements, and engineering standards are maintained and updated
Drive process improvements, promote engineering best practices, and contribute to service enhancements across the data landscape
Support people leadership activities, including coaching, mentoring, and professional development of team members where applicable

Requirements

Bachelor's degree in IT, Computer Science, Engineering, or a related field
At least 5 years of experience in data engineering, data modeling, reporting, and data platform development
Minimum of 2 years of experience in a Technical Lead capacity, leading Azure-based data engineering initiatives and delivery governance
Hands-on experience with Microsoft Azure technologies including Azure Data Factory, Data Lake, Databricks, Azure SQL, and SSIS
Proven experience implementing CI/CD pipelines using Azure DevOps
Strong understanding of SQL, ETL/ELT processes, software development lifecycle, and data architecture concepts
Exposure to IT architecture and data flows between systems is an advantage
Strong analytical, problem-solving, communication, and stakeholder management skills
Ability to work effectively in a fast-paced, collaborative, and multicultural environment
Fluent in 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 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.