Data Manager and Engineer

• The Office of the Commissioner General for Refugees and Stateless Persons is a federally independent administration. The mission of the CGRS is to provide protection to persons who are at risk of persecution or serious harm in the event of their return to their country of origin.
• In accordance with Belgian, European and international standards, the CGRS examines each application for international protection in an individual, objective and impartial manner.
• A modernisation process has been started within the CGRS, translated into the eDossier programme.
• It is a very ambitious programme, consisting of a number of projects, with a very tight timing. To further shape and develop the program, we are looking for strong profiles who are willing to commit themselves temporarily (fixed-term contracts, immediately cancelable, extendable through positive evaluation) until completion, foreseen until at least the end of 2028.
• One of the profiles we are looking for is a hands-on Data Manager and Engineer, level expert (+10 years of experience, mandatory). We expect this person to flawlessly and independently incorporate data management and data engineering activities within the eDossier initiative and within the organization. You form a team with other experienced, very competent and motivated people.
• You can always call on the knowledge and competencies of our architectural team and our data cell.
   
• Continuously training himself to stay up to date with the latest sustainable trends and innovations, primarily with a focus on data management of structured and non-structured data within complex organizations and data engineering within cloud environments,
• 10 years of hands-on experience with data management within complex organizations (≠ 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 (≠ 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 on the choices to be made, taking into account the full context, to both a technical and a non-technical audience,
• Good listener, flexible attitude, possessing the ability to communicate, collaborate, goal- and result-oriented.
• Experience with design/definition and development of APIs is an added value,
• Experience with development and integration of micro services is an added value,
• Experience with software design (cloud, API, microservice, event) is an added value,
• Experience with event driven architecture and systems is an added value,
• Knowledge of Event Driven and/or Behavioral Driven Development is an added value,
• Knowledge of Domain Driven Design is an added value,
• Knowledge of already existing building blocks and services within the federal government context is an added value.

The speech

• Due to the nature of the tasks and the customer base (bilingual working environment), as well as our internal way of working, a very good knowledge of English, as well as a very good knowledge of Dutch or French, is necessary.

Tasks

• Within your role of data management, you will develop the master data management and metadata management into a data glossary and data dictionary, both for the eDossier initiative and for the organization, taking into account the complexity of the environment,- Within your role of data management, you will ensure high-quality and secure data analysis to come from descriptive, to predictive and prescriptive analysis. To do this, you will take care of all activities, ranging from data collection to modeling to visualization, taking into account the needs and requirements of the organization and its stakeholders,
• Within your role of data engineering, you will ensure that our current (on prem) and future(cloud) data is brought to the Azure Cloud data platform, either via the available cloud services, either with commercial or the shelf solutions, taking into account the establishedsecurity policies and architecture,
• Within your role of data engineering, you are involved in implementing appropriate solutions to provide internal and external stakeholders with understandable, readable and usable reports and statistical data. Therefore, you should have relevant experience in managing data visualization tools, especially Power BI, to help create suitable dashboards or visual aids that meet the needs of the stakeholders,
• Within your role of data engineering, you are perfectly capable of creating and proposing an architectural data design, as well as translate it into action points to ensure its implementation,- Within your role of data management and data engineering, you will help our organization grow in its "data maturity" and work together with our stakeholders on the development of the CGRS as a data-driven organization,
• You will be part of a team, consisting of technical and non-technical profiles (internal within the organization). You must be able to listen and talk carefully with all stakeholders of the project (both technical and non-technical).