Data Manager and Engineer

We are looking for is a hands-on Data Manager and Engineer, expert level (+10 years of experience, mandatory). We expect this person to flawlessly and independently handle data management and data engineering activities within the eDossier initiative and within the organization. You will form a team with other experienced, highly competent, and motivated individuals.

In doing so, you can always rely on the knowledge and competencies of our architecture team and our data cell.

Profile looking for:

A degree in higher education in Computer Science, short or long type, obtained at a recognized European university of applied sciences or university, is mandatory

Continuously pursuing further training to stay up to date with the latest sustainable trends and innovations, primarily with a focus on data management of structured and unstructured data within complex organizations and data engineering within cloud environments,

• 10 years of hands-on experience with data management within complex organizations (different departments or companies, each with their own master data and metadata, unique way of working, etc.), of which:
• 5 years of hands-on experience with master data management and metadata management within complex organizations,
• 5 years of hands-on experience with data quality and data governance within complex organizations,
• 5 years of hands-on experience with data integration and data security within complex organizations,
• 5 years of hands-on experience with predictive and prescriptive data analysis,
• 10 years of hands-on experience with on-prem and cloud data engineering of structured and unstructured data within complex organizations (different departments or companies, each with their own master data) and metadata, unique way of working, etc.), of which:
• 5 years of hands-on experience with data pipelines (workflow automation, batch and real-time),
• 5 years of hands-on experience with data storage and architecture,
• 3 years of hands-on experience with data migrations from on-prem to cloud environments,
• 5 years of hands-on experience with data collection and processing,
• 3 years of hands-on experience with SAP BO and Power BI as a data visualization tool,
• 5 years of hands-on experience with data transformation and integration,
• 3 years of hands-on experience with setting up and using Azure Cloud data platforms,
• 5 years of hands-on experience working within agile teams,

• Ability to propose alternative solutions and formulate recommendations regarding the choices to be made, taking into account the full context, for both technical and non-technical audiences.
• Good listener, flexible attitude, ability to communicate and collaborate, goaland result-oriented.
• Experience with the design/definition and development of APIs is an asset.
• Experience with the development and integration of microservices is an asset.
• Experience with software design (cloud, API, microservice, event) is an asset.
• Experience with event-driven architecture and systems is an asset.
• Knowledge of Event-Driven and/or Behaviorally Driven Development is an asset.
• Knowledge of Domain-Driven Design is an asset.
• Knowledge of existing building blocks and services within the federal government context is an asset.

Scope of duties:

• Within your data management role, you develop master data management and metadata management into a data glossary and data dictionary for both the eDossier initiative and the organization, taking into account the complexity of the environment.
• Within your data management role, you ensure high-quality and secure data analysis to progress from descriptive to predictive and prescriptive analysis. To this end, you handle all activities ranging from data collection and modeling to visualization, taking into account the needs and requirements of the organization and its stakeholders.
• Within your data engineering role, you ensure that our current (on-prem) and future (cloud) data is migrated to the Azure Cloud data platform, either via available cloud services or with commercial off-the-shelf solutions, while adhering to established security policies and architecture.
• Within your data engineering role, you are involved in implementing appropriate solutions to provide internal and external stakeholders with understandable, readable, and usable reports and statistical data. Therefore, you must have relevant experience managing
• data visualization tools, particularly Power BI, to assist in creating suitable
• dashboards or visual aids that meet stakeholder needs.
• Within your data engineering role, you are perfectly capable of drafting and proposing an architectural data design, as well as translating it into action points to ensure its implementation