- Digital offers a huge opportunity and future growth for UFS depends on evolving the business model and developing contact strategies to reach the 95% of operators we do not visit. Ambitious targets to transform our business towards a more digitally advanced one have been agreed with the Global board and set in motion.
- In line with our ambition to continuously be a data- driven organization, we aim to remove siloes and bridge gaps by synergizing the strategy and data flows from multiple global platform owners without sacrificing the quality and integrity of data.
- Unilever Food Solutions (UFS) is the €2.5bn+ foodservice division of Unilever. It leads the dynamic Food Service market across its categories and has ambitious growth objectives, marketing a range of professional food and beverage products and services to chefs across 22 Multi Country Organization (MCO) in 72 countries.
Main purpose of the job:
- The Regional Senior Data Engineer is responsible for the overall data management strategy for the Southeast Asia & South Asia (SEASA) region. He/she will traffic and implement solutions to accurately capture, process, transfer, map, and decide the right data transformations among multiple legacy and native UFS systems used while localizing to the market’s needs. He/she will also decide on data control standards and data decay guidelines keeping all vital information in technical documentation with regulated access rights to the right stakeholders.
Main accountabilities
• Help local Data teams cleanse, map and process data.
• Perform data validation alongside local and global data engineers.
• Help local Data teams design, build, and sustainably refresh data flows while ensuring optimal security and recoverability to match the needs of the stakeholders in sales, marketing, operations, etc.
• Maintain proper technical documentation and network architectural diagrams for the region.
• Work closely with global data and tech teams to ensure proper roll- out and data integration for existing and new solutions.
• Conducts Data Standard trainings and monitor data adherence.
• Identify process simplification, automation, data harmonization or de- duplication opportunities to improve data quality and lead projects to execute the same.
• Work with the global, regional and local teams to measure, track and improve data quality, helping ensure that data is available, complete, consistent and seamless.
