Data Modeler

PROJECT INFORMATION:

• Industry: Banking
• Location: hybrid (visit the Gdańsk, Gdynia or Warsaw office 1/week)
• Remuneration: up to 185 PLN/h netto+VAT (B2B)
• Project language: English
• Start: ASAP

Main Responsibilities

As a Data Modeler, your core responsibility will be to maintain and update the Logical and Physical data models for Master Data Management solutions.

• Create and manage a comprehensive Data Element Catalog for stakeholders.
• Conduct information modelling on master data domains such as Party, Agreement, and Location.
• Utilize industry-standard data modelling tools, including Mega Hopex and Erwin.
• Provide support to business and technical stakeholders regarding data models and related artifacts.
• Update and maintain the Logical & Physical data model in line with evolving needs.
• Collaborate with team members to ensure data integrity and quality.

Key Requirements

• Minimum 8 years of relevant experience in data modeling.
• Strong understanding of the IFW industry data model.
• Proficiency in using data modeling tools (e.g., Mega Hopex, Erwin).
• Experience with Master Data Management solutions.
• Excellent analytical and problem-solving skills.
• Ability to communicate complex concepts clearly.
• Adaptability to changing project requirements.
• Attention to detail and a strong focus on quality.

Nice to Have

• Experience in remote working environments.
• Familiarity with data governance principles.
• Background in the financial sector preferred.

Interested?

At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately. Our internal recruitment team is always keen to hear from dynamic individuals looking to further their career and explore their full potential. emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion, or ethnic origin.