Data Modeler

About Inetum, Positive digital flow:

Inetum is an IT services company that provides digital services and solutions and a global group that helps companies and institutions to get the most out of digital flow. The Inetum group is committed towards all these players to innovate, continue to adapt and stay ahead. With its multi-expert profile, Inetum offers its clients a unique combination of proximity, a sectorial organization and solutions of industrial quality. Operating in more than 26 countries, the Group has nearly 27,000 employees and in 2020 generated revenues of €1,965 billion.

Inetum Romania is an important player in the IT services and solutions market in our country, with over 15 years of activity. It is a stable, growing and profitable company with over 500 employees who provides IT consulting services, infrastructure and software development assistance, digital services implementation and support.

In an Agile format, our teams work on cloud initiatives, application development, business intelligence, automation and digitalization projects that contribute to the profit and evolution of our clients. The diversity of our projects offers team members the opportunity for learning and growth. The company had a turnover of 20 million EURO in 2021.

• Advanced skills in one SQL flavor (T-SQL/ PL-SQL/ DB2 SQL)
• 4+ years experience in business & system analysis for data projects
• Expertise in data modeling principles/methods including conceptual, logical & physical Data Models
• Experience in with data modeling tools (Power Designer - preferred)
• Previous experience with implementations of Data management solutions (Data warehouse, reporting systems)
• Have good knowledge of data warehouse modelling (IBM methodology preferred)
• Are familiar with Data warehouse, data integration and BI technologies
• Have experience working on large projects (+20 people) as well as regular changes
• Experience in the Banking industry
• Bachelor's degree or higher
• Good communication skills in Romanian and English.

• Work closely with the data governance team in order to understand the conceptual model
• Develop, validate, publish and maintain the logical Data Model by understanding the business requirements (understand the business process, define the grain, define dimensions and facts tables)
• Understand data relationships and design data models that reflect these relationships and facilitate efficient ingestion, processing and consumption of data by the BI users
• Identify, define, and create necessary associative tables, data constraints, and compression mechanisms
• Define and govern data modeling and design standards, tools and best practices
• Develop, publish and maintain all documentation for data models.