Expert Data Modeller
Kraków Mid-level Data Architecture & Governance
At a glance
Mid-level Data Architecture & Governance role at GFT Technologies. Kraków · no salary stated · we estimate PLN 130,743–PLN 305,500 across Poland.
Estimated pay
GFT Technologies has not published a salary for this role. The figure below is our estimate, not theirs.
PLN 130,743 – PLN 305,500
What the middle half of mid-level data architecture & governance roles in Poland paid, among postings that did state a salary.
Worked out from 7 postings that stated pay, median PLN 243,000. Last updated Nov 12, 2026.
RoleData Architecture & Governance
SeniorityMid-level
LocationKraków
PostedNov 5, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build conceptual and logical models for the platform’s regulatory reporting data layer
- Examine complex banking data landscapes and define their entities, links and meanings
- Analyze data and help carry out data-quality work
- Map data from source to target and support source-to-return mapping
- Shape information models for regulatory reporting and align data needs with business and technical teams
What you bring
- At least eight years of relevant experience, with strong conceptual and logical data-modelling skills
- Strong banking-data experience and SQL skills, including work with relational databases
- You understand data-modelling methods and have handled data analysis, quality checks and source-to-target mapping
- You have worked with Microsoft Azure and complex enterprise data landscapes, translating business needs into models
Who this fits
This role suits a mid-career data modeller with deep banking-data experience and strength in regulatory reporting models. It is offered on a B2B contract.
From the employer
Type of contract: B2B contract
Salary range: 155 - 205 PLN/H
Salary range: 155 - 205 PLN/H
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.
Your tasks
- 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
Your skills
- 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
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