Data Modeller
⚲ Kraków
20 000–23 000 zł netto (+ VAT) / mies.
Wymagania
- JSON
- XML
- AWS
- Microsoft Azure
- Google Cloud Platform
- Hadoop
- Spark
Opis stanowiska
Nasze wymagania:
Deep expertise in data modelling, including conceptual, logical, and physical model design for both operational and analytical environments.
Proficiency in data modelling techniques, including Data Vault 2.0, Star Schema (dimensional), and 3NF.
Hands-on experience with data profiling, data analysis, and handling structured and semi-structured formats (JSON, XML).
Strong communication skills with the ability to explain complex modelling concepts to both technical and non-technical stakeholders, influencing decision-making and sign-off processes.
Knowledge of data governance principles, metadata management, and data quality frameworks.
Mile widziane:
Experience with cloud data platforms (AWS, Azure, or Google Cloud).
Python scripting skills for automation and data analysis.
Familiarity with big data technologies (Hadoop, Spark).
Exposure to banking industry standards/models (BIAN, FSDM, FIBO, SWIFT, BDW) or experience designing enterprise-level data models.
O projekcie:
We are seeking an experienced Data Modeller to design, develop, and maintain data models supporting a modern analytical data platform. This is a pivotal role that involves collaborating with data architects, engineers, analysts, and business stakeholders to ensure consistent, high-quality data solutions.
You will be responsible for translating business and technical requirements into scalable, efficient data models while ensuring adherence to data governance, integrity, and quality standards. This is an excellent opportunity for a data professional passionate about data architecture, modelling best practices, and enabling data-driven decision-making at scale.
Sounds like your kind of challenge?
Zakres obowiązków:
Develop conceptual, logical, and physical data models to support operational and analytical needs.
Translate business requirements into robust data modelling solutions, ensuring alignment with data architecture principles and standards.
Collaborate with data architects, data engineers, and source system experts to gather detailed data requirements and validate design assumptions.
Define source-to-target mappings, data integrity checks, and data quality rules as part of the design process.
Participate in architecture and design discussions, contributing to standards and best practices for data products.
Guide Data Analysts in performing data profiling and directed data analysis to support model design.
Support continuous improvement initiatives, enhancing automation, data quality, and modelling frameworks.
Stay current with emerging data technologies, modelling techniques, and industry developments.
Note: Detailed project information will be shared during the recruitment process.
Oferujemy:
Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Hybrid work setup – 2 times a week from the office
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Continuous development – access to training platforms and growth opportunities
Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
High quality equipment – laptop and essential software provided
Deep expertise in data modelling, including conceptual, logical, and physical model design for both operational and analytical environments.
Proficiency in data modelling techniques, including Data Vault 2.0, Star Schema (dimensional), and 3NF.
Hands-on experience with data profiling, data analysis, and handling structured and semi-structured formats (JSON, XML).
Strong communication skills with the ability to explain complex modelling concepts to both technical and non-technical stakeholders, influencing decision-making and sign-off processes.
Knowledge of data governance principles, metadata management, and data quality frameworks.
Mile widziane:
Experience with cloud data platforms (AWS, Azure, or Google Cloud).
Python scripting skills for automation and data analysis.
Familiarity with big data technologies (Hadoop, Spark).
Exposure to banking industry standards/models (BIAN, FSDM, FIBO, SWIFT, BDW) or experience designing enterprise-level data models.
O projekcie:
We are seeking an experienced Data Modeller to design, develop, and maintain data models supporting a modern analytical data platform. This is a pivotal role that involves collaborating with data architects, engineers, analysts, and business stakeholders to ensure consistent, high-quality data solutions.
You will be responsible for translating business and technical requirements into scalable, efficient data models while ensuring adherence to data governance, integrity, and quality standards. This is an excellent opportunity for a data professional passionate about data architecture, modelling best practices, and enabling data-driven decision-making at scale.
Sounds like your kind of challenge?
Zakres obowiązków:
Develop conceptual, logical, and physical data models to support operational and analytical needs.
Translate business requirements into robust data modelling solutions, ensuring alignment with data architecture principles and standards.
Collaborate with data architects, data engineers, and source system experts to gather detailed data requirements and validate design assumptions.
Define source-to-target mappings, data integrity checks, and data quality rules as part of the design process.
Participate in architecture and design discussions, contributing to standards and best practices for data products.
Guide Data Analysts in performing data profiling and directed data analysis to support model design.
Support continuous improvement initiatives, enhancing automation, data quality, and modelling frameworks.
Stay current with emerging data technologies, modelling techniques, and industry developments.
Note: Detailed project information will be shared during the recruitment process.
Oferujemy:
Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Hybrid work setup – 2 times a week from the office
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Continuous development – access to training platforms and growth opportunities
Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
High quality equipment – laptop and essential software provided
🔍 Dekoder Ogłoszenia
🟡
Deep expertise in data modelling, including conceptual, logical, and physical model design for both operational and analytical environments.
Oczekują od Ciebie nie tylko znajomości teorii, ale też praktycznego doświadczenia w tworzeniu modeli na różnych poziomach abstrakcji dla różnych typów systemów.
🟡
Strong communication skills with the ability to explain complex modelling concepts to both technical and non-technical stakeholders, influencing decision-making and sign-off processes.
Będziesz musiał często tłumaczyć skomplikowane zagadnienia nietechnicznym osobom i przekonywać ich do swoich rozwiązań.
🟡
Knowledge of data governance principles, metadata management, and data quality frameworks.
Oprócz samego modelowania, będziesz musiał dbać o jakość i zarządzanie danymi w organizacji.
🔴
Experience with cloud data platforms (AWS, Azure, or Google Cloud).
Chcą kogoś, kto potrafi pracować z danymi w chmurze, co może oznaczać konieczność nauki lub pogłębienia wiedzy w tym obszarze.
🔴
Exposure to banking industry standards/models (BIAN, FSDM, FIBO, SWIFT, BDW) or experience designing enterprise-level data models.
Znajomość specyficznych standardów branżowych jest mile widziana, co może sugerować, że projekt jest w sektorze finansowym i wymaga specyficznej wiedzy.