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 a Tech Lead 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.
We offer
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Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)
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Working in a highly experienced and dedicated team
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Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
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Online training and certifications
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Access to e-learning platform
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Work From Anywhere (up to 140 days/year abroad)
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Social events
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Design conceptual and logical data models for regulatory reporting
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Analyse complex banking data landscapes and data structures
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Define data entities, relationships and data definitions
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Perform data analysis and support data quality activities
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Create source-to-target and source-to-return mappings
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Support information modelling for regulatory reporting requirements
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Collaborate with technical and business stakeholders on data requirements
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8+ years of relevant experience
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Strong experience in conceptual and logical data modelling
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Strong banking data experience
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Strong SQL skills
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Experience with relational databases and data structures
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Strong understanding of data modelling principles and methodologies
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Experience with data analysis and data quality
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Experience with source-to-target mapping
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Experience working with complex enterprise data landscapes
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Experience working with Microsoft Azure
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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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