Data Modeller
⚲ Kraków
21 000 - 24 150 PLN (B2B)
Wymagania
- Data modelling
- Vault
- JSON
- XML
- Communication skills
- Cloud (nice to have)
- AWS (nice to have)
- Azure (nice to have)
- Google Cloud (nice to have)
- Google cloud (nice to have)
- Data analysis (nice to have)
- Big data (nice to have)
- Hadoop (nice to have)
- Spark (nice to have)
- Swift (nice to have)
- Data models (nice to have)
Opis stanowiska
O projekcie:
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
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?
What you get in return
- 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
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.
Nice to have:
- 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.
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- 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.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
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?
What you get in return
- 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
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.
Nice to have:
- 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.
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- 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.
🔍 Dekoder Ogłoszenia
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collaborating with data architects, engineers, analysts, and business stakeholders
Będziesz musiał aktywnie komunikować się z wieloma różnymi zespołami i interesariuszami, co może oznaczać dużo spotkań i potrzebę zarządzania oczekiwaniami.
🔴
ensuring adherence to data governance, integrity, and quality standards
Oznacza to, że będziesz musiał pracować w ramach istniejących, często restrykcyjnych, polityk i procedur dotyczących danych.
🔴
Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Chociaż oferują wybór, forma zatrudnienia B2B może wiązać się z brakiem niektórych benefitów pracowniczych i większą odpowiedzialnością za własne podatki i składki.
🔴
Hybrid work setup – 2 times a week from the office
Oznacza to, że będziesz musiał być fizycznie obecny w biurze dwa razy w tygodniu, co może być uciążliwe, jeśli biuro jest daleko.
🟡
experienced professionals eager to share knowledge
Może to oznaczać, że zespół jest bardzo doświadczony, ale także, że oczekuje się od Ciebie szybkiego przyswajania wiedzy i samodzielności w rozwiązywaniu problemów.