Data Engineer at The Heineken Company

• The Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports the organization's data needs. They will work closely with various teams to gather requirements, design and develop data pipelines, and ensure data quality and availability for analysis and reporting.

Key Responsibilities: 

• Work with business stakeholders and data analysts to understand data requirements and design scalable data architectures that meet those needs.
• Develop and maintain data pipelines that extract, transform, and load data from various sources into the data warehouse or data lake.
• Design and develop data models and schemas that support efficient querying and analysis.
• Develop and maintain data integration solutions to ensure data consistency and accuracy across various systems and applications.
• Ensure data quality and availability for analysis and reporting by implementing data validation, cleansing, and enrichment processes.
• Conduct performance tuning and optimization of data pipelines and data storage solutions to ensure optimal performance and scalability.
• Collaborate with other teams to integrate data engineering solutions with other systems and applications.
• Ensure that data engineering solutions are secure, compliant, and meet data governance requirements.
• Provide documentation and support for data engineering solutions to ensure that they are maintainable and scalable.

Education and Experience:

• Bachelor’s degree in Commerce, Computer Science, Data Science, Engineering, ore related field
• Minimum of 5 years of experience in data engineering or a related field.
• Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques.
• Experience with big data technologies.
• Proficient in SQL and data querying.
• Experience with cloud-based data storage solutions such as AWS S3 or Azure Blob Storage.
• Experience with data integration solutions such Dell Boomi and Azure Data Factory
• Strong understanding of SAP BIP architecture, administration, and security.
• Knowledge of SAP systems such as SAP ERP, SAP BW, and SAP HANA.
• Experience with integrating SAP BIP with other systems and applications.
• Experience with SAP BusinessObjects Cloud, SAP Lumira, or SAP Analytics Cloud is a plus (formerly SQL Data Warehouse).
• Experience with Azure data services such as Azure Data Factory, Azure Data Lake, and Azure Databricks.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Closing Date: 31 January 2026