Data Manager and Engineer

Keystone Solutions is seeking a highly skilled Data Manager and Engineer for a consultancy mission at a client site. This role involves working on the ambitious eDossier modernization program, which aims to enhance data management and engineering within the organization. As a consultant, you will be representing Keystone Solutions while engaging in dynamic projects that offer diverse challenges and opportunities for professional growth., * Develop master data management and metadata management into a data glossary and data dictionary for the eDossier initiative and the organization.

• Ensure high-quality and secure data analysis, transitioning from descriptive to predictive and prescriptive analysis.
• Manage all activities from data collection to modeling and visualization, addressing the needs of the organization and its stakeholders.
• Facilitate the migration of current and future data to the Azure Cloud data platform, adhering to established security policies and architecture.
• Implement solutions to provide stakeholders with understandable, readable, and usable reports and statistical data, utilizing data visualization tools like Power BI.
• Create and propose architectural data designs and translate them into actionable implementation points.
• Assist the organization in enhancing its data maturity and collaborate with stakeholders to develop a data-driven organization.
• Work within a team of technical and non-technical profiles, effectively communicating with all project stakeholders.

• Master’s degree in Computer Science from a recognized European institution.
• Continuous self-education to stay updated on sustainable trends and innovations, focusing on structured and unstructured data management within complex organizations.

• 10+ years of hands-on experience in data management within complex organizations, including:

• 5+ years in master data management and metadata management.
• 5+ years in data quality and data governance.
• 5+ years in data integration and data security.
• 5+ years in predictive and prescriptive data analysis.

10+ years of hands-on experience in on-prem and cloud data engineering, including:

• 5+ years with data pipelines (workflow automation, batch, and real-time).
• 5+ years in data storage and architecture.
• 3+ years in data migrations from on-prem to cloud environments.
• 5+ years in data collection and processing.
• 3+ years with SAP BO and Power BI as data visualization tools.
• 5+ years in data transformation and integration.
• 3+ years in setting up and using Azure Cloud data platforms.
• 5+ years of experience working within agile teams.

Ability to propose alternative solutions and recommendations to both technical and non-technical audiences.Strong listening skills, flexible attitude, and effective communication and collaboration abilities.Experience with API design and development, microservices integration, and software design is a plus.Knowledge of event-driven architecture and systems is an advantage.Fluency in English and a good command of either Dutch or French is required.