Data Observability Specialist

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)

This role is a part of the Data Management Department, Digital & Technology Global Team (D&T) of HEINEKEN International.
The role is part of the Data Observability Specialist, being part of Enabling Data Platforms tower, with the aim to to ensure data systems remain reliable, transparent, and aligned with organizational goals, enabling other teams to confidently use data for decision-making and innovation. Chapter ensures that data systems, pipelines and models are monitored, traceable and optimized for reliability and performance. It serves both Data Management teams as well as the wider HEINEKEN organisation.

Your responsibilities would include:

• supporting the implementation of best practices and guidelines for data observability across the HEINEKEN organization
• supporting the alignment of observability aligns with data governance, quality, and compliance frameworks
• acting as the bridge between data observability technology and business needs
• collaborating with data stewards, governance teams, and business units to ensure data is reliable, transparent, and accessible
• training and educating teams on data observability concepts and tools
• collaborating to define performance indicators (KPIs) for data health, including completeness, accuracy, timeliness and resources consumption
• supporting clear visibility into data lineage, helping teams understand the origin, transformation, and usage of data across the ecosystem
• partnering with Data Governance and Engineering teams to improve lineage tracking and documentation
• supporting business teams in understanding the impact of data anomalies and outages
• supporting the response efforts from a functional perspective, ensuring that business-critical data remains available and trustworthy
• using lineage insights to trace root causes of data issues and prevent recurrence
• monitoring that observability practices align with internal policies and regulatory requirements (e.g., GDPR)
• providing functional insights on data lineage, security, and compliance implications
• monitoring that lineage tracking supports auditability and accountability for data governance.

You are a good candidate if you have:

• a Bachelor’s or Master’s degree in Data Management, Computer Science, Information Systems, Business Analytics, or a related field
• 5+ years of experience in Data Management, Data Quality and possibly Data Engineering
• hands on experience working with data observability, data lineage, or data quality frameworks in large-scale organizations
• familiarity with data governance frameworks (e.g., DAMA DMBOK, DCAM) and regulatory compliance (e.g., GDPR)
• strong understanding of data lineage, data quality metrics, and data monitoring methodologies
• familiarity with data observability tools (e.g., Monte Carlo, Soda, Great Expectations, Collibra, Alation, Data Bricks)
• experience with data platforms and cloud environments (AWS, Azure, or GCP)
• knowledge of SQL and ability to interpret technical data flows
• an understanding of ETL/ELT processes and how data moves across the organization
• strong problem-solving skills with the ability to analyse data issues and recommend functional improvements
• excellent communication and stakeholder management skills to translate technical insights into business value
• excellent written and verbal English
• familiarity with data observability tools
• good knowledge of data governance frameworks and standards.

We Offer: