Full-Stack Data Monitoring Engineer - Data Observability Lead

Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!


Would you like to meet the Team, see our office and much more? Visit our website: Heineken (heineken-dt.pl)
Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!

This role is part of the Data Management Department, being a part of Digital & Technology Global Team (D&T) of HEINEKEN International. The purpose of this role is to act both as a line manager for team members as well as the technical leader. The role is responsible for guiding the technical direction, team development, and delivery of features and systems that ensure data transparency across the organization.

The aim of the chapter is to ensure data systems remain reliable, transparent, and aligned with organizational goals, enabling other teams to confidently use data for decision-making and innovation. It serves both Data Management teams as well as the wider HEINEKEN organisation.

Your responsibilities would include:
• building out data monitoring capabilities for Heineken data platforms
• leading design and implementation of scalable data monitoring systems to continuously track data  
• working hand–in–hand with Product Owner and Product Team on the Product E2E Lifecycle assuring the Chapter efforts are aligned with the product Roadmap ad business priorities
• leading and mentoring a cross-functional chapter focused on implementing and evolving the data Observability product
• defining and tracking Team's goals and supports the members in their skills development
• advancing the growth of chapter members by coaching, mentoring, giving guidance /feedback on the domain specific expertise of the chapter
• monitoring and managing Team's resources optimal allocation across different Domains and Product development
• managing external resources acquired to support Team in delivering product functionalities and quality
• partnering with Product Owner to ensure most efficient value chain improvements to business
• partnering with Architecture to ensure products are developed in a robust, secure and consistent manner that is within the right architectural guidance
• ensuring the right skill set is on place by facilitating recruitment, onboarding and fit-to-goal capabilities in Team 
• depending on the Chapter size might be also involved in operational activities.

You are a good candidate if you have:
• Bachelor/master's degree in computer science, Telecom, Electronics or other related studies
• 10 years of relevant in the data related field, with several years of managerial experience. 5+ years relevant experience in Data Engineering practices
• required work experience in field of expertise: Hands-on experience implementing or managing data observability solutions, including monitoring, alerting, and anomaly detection systems. Strong knowledge of cloud-based data services (e.g., AWS, Azure, SAP HANA CP) and distributed data systems like Snowflake or Databricks. Deep understanding of industry best practices for observability in modern data ecosystems, including data lineage and metadata management. Familiarity with data governance principles and regulatory frameworks like GDPR, CCPA, or HIPAA
• proven experience leading technical teams, with a track record of mentoring and growing team members
• ability to work effectively with cross-functional teams/chapter, particularly with product owners, technical teams, and business stakeholders
• practical knowledge of DataBricks, AWS, Azure, Collibra
• familiarity with observability platforms like Monte Carlo, Datadog, OpenTelemetry, or custom-built solutions
• ability to implement best practices for managing metadata, business glossaries, and data definitions project management, change management
• experience in implementing or managing metadata management systems is a plus.
• ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

We Offer:

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