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Morgan McKinley is excited to partner with a leading Irish bank to hire for a data modeler in the bank's data architectural team.
Please note this is initially a 6 months contract hybrid role based in Dublin.
As a Data modeler, you will be translating business requirements into architecture/technical
specifications, defining the data model and data flows.
You can expect to collaborate and coordinate with multiple departments, stakeholders,
partners, and external vendors.
Your Responsibilities:
You will be a key contributor who will be overseeing the end-to-end view of how data flows through one or more databases and its logical design including storage and utilisation requirements.
Some of the day-to-day work includes:
* Collaborate with the application development team to understand data requirements and
translate them into data models.
* Design, develop, and maintain logical and physical data models for the mortgage portal.
* Ensure data models support the extraction and transformation of data from the enterprise
* data warehouse.
* Implement data models in the application database (OLTP) and ensure nightly deployments.
* Optimize and tune data models for performance and scalability.
* Work closely with database administrators to ensure data integrity and security.
* Provide support and guidance to the development team on data-related issues.
* Ensure related Policies, Standards and procedure are fit for purpose, current, and correctly
* implemented.
To be successful in this role, you'll need:
* Proven experience as a Data Modeler or in a similar role.
* Strong knowledge of data modelling techniques and tools (e.g., ER/Studio, ERwin,
* PowerDesigner).
* Experience with enterprise data warehouses and OLTP databases.
* Proficiency in SQL and database management systems (e.g., Oracle, SQL Server, MySQL).
* Familiarity with ETL processes and tools.
* Excellent analytical and problem-solving skills.
* Strong communication and collaboration skills.
If this sounds like you, apply today with a copy of your CV!
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Information Technology
* Industries
Banking
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