Data Modeler

💻 Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains. With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management. By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society. 🔹 For our Client we are looking for Data Modeler 🔹 Possible location in Poland : Poznań or Wrocław - 2 days/week onsite. ✔️About Insights and Data We are looking for an experienced Data Modeler to support the design and evolution of enterprise grade data models for modern data platforms in Financial Services and Investment Banking. The role focuses on shaping logical and physical data structures that underpin analytics, risk, regulatory reporting, and business critical decision making. The Data Modeler works closely with Business Analysts, Data Engineers, Architects, and governance teams to ensure data structures are consistent, scalable, auditable, and aligned with business and regulatory requirements. ✔️ Key Responsibilities: Design and maintain conceptual, logical, and physical data models for enterprise data platforms Translate business and regulatory requirements into robust data structures Define and manage data entities, relationships, keys, and hierarchies across domains Support data integration initiatives by defining source to target mappings and canonical models Work closely with Data Engineers to ensure models are implemented correctly in lakehouse / warehouse environments Ensure data models support regulatory reporting, lineage, auditability, and data quality requirements Contribute to data standards, naming conventions, modelling best practices, and documentation ✔️ Required Experience: 5+ years of experience in data modelling roles within Financial Services or Investment Banking Strong experience modelling data for analytics, reporting, risk, or regulatory use cases Proven track record working with data intensive and integration heavy environments Experience collaborating with business and technical stakeholders across delivery teams ✔️Key Skills & Competencies Strong knowledge of data modelling techniques (conceptual, logical, physical) Experience with dimensional modelling, star/snowflake schemas Exposure to Data Vault modelling (highly desirable for regulatory and audit use cases) Strong SQL skills to validate models and support data analysis Understanding of data lineage, metadata, and data quality principles Familiarity with modelling tools and documentation standards ✔️Technology & Platform Exposure Modern data platforms: Databricks / Lakehouse architectures Cloud data environments (e.g. Azure) Integration with ETL/ELT pipelines and analytical layers Collaboration tools: Jira, Confluence, version control systems ✔️Nice to Have Experience with Data Mesh concepts and domain oriented modelling Exposure to risk, credit, or regulatory reporting domains Background in working with Azure based analytics platforms Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com Client Code: DS00 Whistleblowing Policy, which provides guidelines for reporting misconduct can be found on Ework website: https://www.eworkgroup.com/about-us/our-responsibility