Overview
The Data Modelling/Datavault Engineer 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 help implement the bank's big data platform and contribute to spreading the data governance and “Know your data” culture throughout the bank.
Responsibilities
* Establish and deploy standards and guidelines to be applied throughout the Data team.
* Actively participate in the Community of Practice (CoP).
* 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 owner and management on 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, Inmon, 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.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
Industries
* Software Development
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