O stanowisku
Be in IT specjalizuje się w kompleksowej rekrutacji specjalistów IT dla polskich i międzynarodowych firm. Wspieramy klientów w pozyskiwaniu ekspertów z obszarów software development, AI, data, cloud, cybersecurity, ERP, CRM oraz zarządzania IT.
Stawiamy na znajomość technologii, przejrzystą komunikację i partnerskie podejście, dzięki którym skutecznie dopasowujemy kandydatów do potrzeb organizacji i realizowanych projektów.
Obecnie dla naszego klienta poszukujemy osoby na stanowisko: Data Modeler.
Czy do nas pasujesz?
Minimum 5 years of experience as a Data Modeler in the financial services or investment banking sector.
Experience in data modeling for analytics, reporting, risk, or regulatory applications.
Documented experience working in data-intensive environments requiring complex integrations.
Experience in effective collaboration with business and technical stakeholders in development teams.
Very good knowledge of data modeling techniques (conceptual, logical, physical).
Experience in multidimensional modeling (star/snowflake schemas).
Very good knowledge of SQL for model validation and data analysis support.
Understanding of data lineage principles, metadata, and data quality rules.
Knowledge of data modeling tools and documentation standards.
Willingness to work in a hybrid model (2 days per week) from an office in Wrocław or Poznań.
Knowledge of English at B2 or C1 level, enabling free communication in an international environment.
Czym się zajmiesz
Long-term collaboration with an international, top consulting firm providing IT services for large and medium companies from various sectors.
Designing and maintaining conceptual, logical, and physical data models for cloud and classic data platforms in the investment banking sector.
Transforming business and regulatory requirements into scalable and secure data structures supporting analytics, risk, and reporting.
Defining and managing data entities, relationships, keys, and hierarchies across various business domains.
Supporting data integration initiatives by defining source-to-target mappings and canonical models.
Close collaboration with Data Engineers to ensure correct implementation of models in lakehouse/warehouse environments (e.g., Databricks, Azure).
Ensuring data structures support regulatory reporting requirements, data lineage tracking, auditability, and data quality.
Co-creating data standards, naming conventions, modeling best practices, and technical documentation.
Close collaboration with Business Analysts, Architects, and governance teams.
Working with a modern technology stack: Databricks/Lakehouse architectures, Azure cloud environments, ETL/ELT pipelines, and tools like Jira, Confluence, version control systems.
Brzmi jak oferta dla Ciebie?
Do negocjacji · Be in IT
Na stronie firmy Be in IT · ~2 minuty
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