DATA MODELLING
Il y a 3 mois
Brussels, Brussels-Capital, Belgique
Amethix Technologies
Temps plein
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Introduction: The Data tribe is a key component of the Data department and aims to service all areas of the bank with transversal BI solutions and tools. As a Data Modelling/Datavault Engineer, you will be responsible for establishing and deploying standards and guidelines, promoting modelling techniques, providing training sessions and assessing the quality of data models. You will play a crucial role in implementing the bank's big data platform and contributing to spreading the new data governance and “Know your data” culture throughout the bank.
Responsibilities
• Establish and deploy standard & guidelines to be applied throughout the whole Data team.
• Actively participate in the CoP (Community of Practices).
• Create awareness on Data Modelling and promote modelling techniques that make sense.
• Make technical recommendations for physical implementation.
• Provide training sessions for analysts and assist them daily.
• Assess quality of data models and ensure correct application of rules/guidelines/standards/templates by the Business Intelligence team and their third party suppliers.
• Monitor and report to the application responsible and management on a regular basis about data modelling activity and KYD culture. Required
Skills:
• Bachelor/Master's degree in IT or Business engineering or equivalent by professional experience.
• At least 4 years of relevant experience in Data Modelling/Datavault.
• Knowledge of DWH data modelling (i.e. Kimball, Inman, datavault).
• Experience in translating customer/functional needs into data design.
• Good understanding of Agile Methodology and project management.
• Knowledge of databases, including Oracle and experience in solution design for Data Hub or Data Lake or a modern Data Warehouse (Streaming based).
• Strong knowledge of modelling tools like PowerDesigner, IBM InfoSphere Data Architect, ArchiMate or any other tool on the market.
• Good analytical and problem-solving skills.
• Quick self-starter with a pro-active attitude and able to work in a dynamic and multi-cultural environment.
• A team player always ready to share, train, or provide support to others.
• Strong oral and written communication skills and able to turn advanced technical topics and industry jargon into easy-to-understand information.
• Quality-driven and cost avoidance-minded with the ability to handle changing priorities and deliver results respecting deadlines.
• A passion for data.
• Establish and deploy standard & guidelines to be applied throughout the whole Data team.
• Actively participate in the CoP (Community of Practices).
• Create awareness on Data Modelling and promote modelling techniques that make sense.
• Make technical recommendations for physical implementation.
• Provide training sessions for analysts and assist them daily.
• Assess quality of data models and ensure correct application of rules/guidelines/standards/templates by the Business Intelligence team and their third party suppliers.
• Monitor and report to the application responsible and management on a regular basis about data modelling activity and KYD culture. Required
Skills:
• Bachelor/Master's degree in IT or Business engineering or equivalent by professional experience.
• At least 4 years of relevant experience in Data Modelling/Datavault.
• Knowledge of DWH data modelling (i.e. Kimball, Inman, datavault).
• Experience in translating customer/functional needs into data design.
• Good understanding of Agile Methodology and project management.
• Knowledge of databases, including Oracle and experience in solution design for Data Hub or Data Lake or a modern Data Warehouse (Streaming based).
• Strong knowledge of modelling tools like PowerDesigner, IBM InfoSphere Data Architect, ArchiMate or any other tool on the market.
• Good analytical and problem-solving skills.
• Quick self-starter with a pro-active attitude and able to work in a dynamic and multi-cultural environment.
• A team player always ready to share, train, or provide support to others.
• Strong oral and written communication skills and able to turn advanced technical topics and industry jargon into easy-to-understand information.
• Quality-driven and cost avoidance-minded with the ability to handle changing priorities and deliver results respecting deadlines.
• A passion for data.