Expert Data Modeller

GFT Poland; Kraków, Łódź, Poznań; On-site; PLN 300,000 - 420,000; Full time

Job summary

GFT Poland is seeking an Expert Data Modeller to design conceptual and logical data models for a regulatory reporting data layer within a next-generation greenfield digital banking platform in a cloud-native Azure environment. You will work with complex banking data and define data entities, relationships and definitions to support regulatory reporting.

The role requires 8+ years of experience in data modelling, strong SQL skills, and hands-on experience with relational databases, data

Qualifications

• 8+ years of relevant experience.
• Strong conceptual and logical data modelling experience.
• Strong banking data experience.
• Strong SQL skills.
• Experience with relational databases and data structures.
• Strong understanding of data modelling principles and methodologies.
• Experience with data analysis and data quality.
• Experience with source-to-target mapping.
• Experience working with complex enterprise data landscapes.
• Experience working with Microsoft Azure.
• Ability to translate business requirements into data models.
• Knowledge of BCBS 239, FRS 9, FINREP, COREP (nice to have).

Responsibilities

• Design conceptual and logical data models for regulatory reporting
• Analyse complex banking data landscapes and data structures
• Define data entities, relationships and data definitions
• Perform data analysis and support data quality activities
• Create source-to-target and source-to-return mappings
• Support information modelling for regulatory reporting requirements
• Collaborate with technical and business stakeholders on data requirements

Skills

SQL skills

Data modelling

Azure

Data quality

Source-to-target mapping

Regulatory reporting

Banking data experience

Enterprise data landscapes

Tools

Microsoft Azure

Job description

O projekcie:

We are GFT Poland. WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER. We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings.

Why Choose GFT?

• A culture of top performance
• Deep tech IT engineering & consulting
• 1200 skilled & top-class experts
• 77% of the team are regular/senior
• Products that contribute to a sustainable world
• Competitive salary and benefits
• Ambitious projects, trainings and tools you need to flourish
• Google Cloud Partner of the Year - for going above and beyond for customers

What will you do?

As an Expert Data Modeller, you will design conceptual and logical data models for a regulatory reporting data layer within a next-generation greenfield digital banking platform. You will work with complex banking data in a scalable, modular, cloud-native environment based on Microsoft Azure.

Wymagania:

• 8+ years of relevant experience
• Strong experience in conceptual and logical data modelling
• Strong banking data experience
• Strong SQL skills
• Experience with relational databases and data structures
• Strong understanding of data modelling principles and methodologies
• Experience with data analysis and data quality
• Experience with source-to-target mapping
• Experience working with complex enterprise data landscapes
• Experience working with Microsoft Azure
• Ability to translate business requirements into data models

Nice to have

• Knowledge of BCBS 239, FRS 9, FINREP, COREP- Experience with source-to-return mapping

Codzienne zadania:

• Design conceptual and logical data models for regulatory reporting
• Analyse complex banking data landscapes and data structures
• Define data entities, relationships and data definitions
• Perform data analysis and support data quality activities
• Create source-to-target and source-to-return mappings
• Support information modelling for regulatory reporting requirements
• Collaborate with technical and business stakeholders on data requirements