SENIOR DATA ENGINEER

 

Purpose:

The Senior Data Engineer position exists to design, develop, and support data pipelines and services within the Markets & Regions Data Services team. The role focuses on implementing and maintaining scalable, reliable, and secure data solutions, following guidance from Team Leads and collaborating with cross-functional teams.

The candidate will contribute to delivering high-quality data to support business decision-making, working within the Agile methodology currently adopted across JTI. The role will support data initiatives tied to web and mobile applications across various business domains.

 

Main Areas of Responsibility:

 

Development and Maintenance of Data Pipelines

Design, implement, and support end-to-end data pipelines and workflows Ensure data solutions are robust, scalable, secure, and cost-effective Perform unit testing, document technical components, and contribute to engineering documentation Support User Acceptance Testing (UAT) and address issues as needed

Issue Resolution and Operational Support

Provide technical assistance for incident resolution during UAT and post-deployment phases Assist with data maintenance and user access support Work with internal stakeholders and external vendors where required Raise, track, and resolve incidents via IT Service Management tools

Platform Configuration and Development

Adhere to existing development standards and incorporate new best practices as they evolve Assist in the configuration and deployment of data components aligned with JTI’s architectural guidelines and Microsoft Azure standards Promote changes across DEV/QA/PRD environments and support testing feedback loops Ensure all required documentation is delivered before Go-Live

Team Collaboration and Communication

Report progress on assigned developments, tasks, and issues to relevant stakeholders Collaborate with data engineers, analysts, and IT teams to ensure effective delivery Participate in team discussions around process improvements and service enhancements

 

Requirements:

Bachelor’s degree in IT, Computer Science, Engineering, or related field 3+ years of experience in data engineering, including data modeling and reporting Experience with Microsoft Azure tools (Data Factory, Data Lake, Databricks, Azure SQL, Synapse) Solid SQL knowledge and understanding of ETL processes Exposure to IT architecture and data flows between systems is a plus Fluent English (written and spoken)

 

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.