Data Engineer Manager

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Please apply till 5 March 2025

Data Engineer Manager

Purpose:

The Data Engineer Manager for the Consumer Data Platform (CDP) is a role within JTI’s Digital Echo System, bridging advanced consumer segmentation capabilities with the robust infrastructure of CDP and the Central Data Lake Platform (CDLP). This role is instrumental in ensuring that JTI’s global segmentation initiatives are data-driven, scalable, and efficient, leveraging the full potential of Treasure Data, DES, and CDLP to deliver personalized and impactful consumer experiences.

You will work at the intersection of segmentation technology, and data engineering by designing solutions that enable seamless data flow between source systems and CDP within the JTI’s central data ecosystem. A critical aspect of this role is a strong understanding of data engineering principles and the ability to work with Azure-based data technologies such as Azure Data Factory, Azure Data Lake, Databricks, and Synapse Analytics. This expertise will allow you to collaborate with the CDLP team to build and optimize data pipelines that support consumer segmentation, execution, and performance measurement.

Responsibilities:

• Build, test, and maintain CDP data model and business rules to harmonize the consumer profile data, ensuring they are scalable, secure, and efficient
• Collaborate with IT security, Enterprise Architecture (EA), and Data & Analytics (D&A) teams to ensure workflows comply with security and technical requirements
• Collaborate with the DES and D&A teams to integrate the different consumer touchpoints from Azure Data Lake and external, ensuring seamless data flows into CDP for advanced targeting and personalization
• Optimization: Identify opportunities to optimize data pipelines and automation processes for higher efficiency and scalability
• Work closely with internal and external development teams to implement new features, enhancements, and campaigns
• Perform code and peer reviews for data ingestions and CDP workflows and databases to ensure high-quality deliverables
• Ensure consumer profiles and data usage align with governance policies, global definitions, and business rules

Requirements:

• University degree
• 1+ years of experience in Treasure Data development or similar CDP roles
• 5+ 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
• Experience in delivering solutions on the Microsoft Azure platform with a special emphasis on data solutions and services
• Strong analytical skills and troubleshooting skills
• Python, PySpark, SQL
• Knowledge in testing and validating Analytical solutions
• Data Engineering skills on Azure stuck (Databricks, Data Factory, Data Lake)
• Good understanding of Azure PaaS management and resource monitoring
• CI/CD experience and DevOps

What to expect:

Expect wellbeing initiatives, flexible work arrangements, growth opportunities, and excellent benefits, including a unique family leave policy. For more details on local policies, speak with the Talent Advisor.

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.

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