Senior Data Engineer

Job Purpose:

• The Senior Data Engineer is crucial within the D&T department at HEINEKEN International, spearheading the APAC Data & Analytics Hub. It is central to operationalizing our strategy of establishing standardized and scalable data foundations across the region and enterprise. Renowned for delivering cutting-edge innovation, robust technology, and advanced analytics, the D&T department equips HEINEKEN with a significant technological advantage, aligning with our ambitious organizational goals.
• The role in as part of the APAC Data & Analytics Hub is critical in Heineken to operationalise our strategy of standardised and scalable data foundations across the region and enterprise. The role holder will work with colleagues across Heineken as part of a team that drive the Research & Development activities of the Advanced Analytics organization by identifying and developing new Analytics opportunities for the enterprise within a specific Function or a group of Functions.
• It is essential that the role holder delivers analytical solutions that are both theoretically sound but create immediate business value. This will be achieved by building strong relationships and collaboration with members of the broader HEINEKEN data organisation including Insight Enablement, Data Management and Global Analytics and various programs across the central, regional and Operating Company (OpCo) structures.
• In particular, he/she will partner with a growing group of data professionals such as Data Engineers, Machine Learning Engineers and Product Managers who play a crucial role in the development and delivery of Analytics products at scale.

Key responsibilities:

• Structure end-to-end processes of data extraction, transformation, and storage to deploy models and analytical solutions in real-time and offline analytic processing.
• Handle activities such as quality assurance, data migration and integration, and solution deployment to ensure the business gets the best value.
• Implement, maintain, and further develop ETL processes, data lineage, and observability across large-scale data ingestion from a variety of sources.
• Design and implement data flows to ensure efficient and reliable data movement (e.g. unit and integration tests).
• Provide technical support in understanding business problems and designing smart data products.
• Collaborate within an agile culture, contributing to the team's success.
• Maintain strong relationships with stakeholders to ensure collaboration and delivery of objectives.
• Continued self-development and research of best-in-class analytical approached (mentorship, development and capability building of Junior Data Engineers)

Job Requirements:

Education & Experience:

• Excellent written and verbal communication skills.
• Significant commercial experience in a similar position.
• Proficiency with Python (inc. strong data analytics skills using Python).
• Excellent software engineering skills (including unit testing, integration testing, OOP).
• Experience working with large datasets through Spark and RDBMS.
• Solid knowledge of PySpark with the ability to apply it to write Spark applications as well as analyze data in a distributed environment.
• Experience working with a large development team (CI/CD)
• Very good SQL skills and ability to extract information from databases.
• Ability to build and maintain strong collaborative relationships with stakeholders across the business.
• Demonstrated ability to effectively manage multiple simultaneous projects and deliverables.
• Communicate effectively with various stakeholders, tailoring your message to your audience's level of technical understanding.
• Excellent written and verbal English and local language.
  

Nice to have:

• Experience with Azure development environment.
• Experience in building/releasing Infrastructure as Code (e.g. Terraform)
• Experience with containerization technologies and orchestrators (e.g. Docker and Kubernetes).
• Understanding of machine learning models, deployment, and monitoring.
• Interest in machine learning and/or desire to develop skills
• Experience working in agile organizations.

Working Condition:

• Office-based role (with Hybrid Working) with standard working hours in Ho Chi Minh head office.