Job Requirements
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Skills
Job description for Data Engineering Manager at HEINEKEN
- 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 (Relationship creation and management of broader team’s stakeholders to ensure strong connection and collaboration for team).
- Continued self-development and research of best-in-class analytical approached (management and/or development and capability building of Junior/Senior Data Engineers).
- Budget responsibilities: Potential responsibility for selection of AA Vendors and AA Tooling workbench (Procurement & Enablement of tools sits with GIS).
- BA/MSc in Statistics, Mathematics, or a related field; equivalent work experience accepted. (MSc/PhD).
- 3+ years in a pure analytical/science role (5+ years).
- 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.
- Language: Excellent written and verbal English.
- 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.
- Management / leadership of related domain experts
- Proven experience in executive communications
- Experience setting team vision and strategy
- 3+ years of management experience
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