Senior Data Warehouse Modeller
Who we are and what we create?
We’re Kingfisher, a team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: Castorama, B&Q, Screwfix, Brico Dépôt and Koçtaş - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in.
At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation.
We are open to flexible and agile working. Therefore, we offer colleagues a blend of working from home and our office, located in Kraków. Talk to us about how we can best support you!
At Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles, even if you do not feel you meet 100% of the requirements.
In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self.
We also offer a competitive benefit package and plenty of opportunities to stretch and grow your career:
Role Purpose:
The Senior Data Designer role supports the business by deciding what data should be ingested from source systems into the Enterprise Data Warehouse, and how this data should be transformed to make it suitable for consumption in reporting or other downstream systems.
The role is accountable for: analysing and documenting source systems’ data as needed to meet the business requirements; determining the method and frequency for ingesting the data into the data warehouse; defining and documenting any data mapping, harmonisation, derivations, calculations, or other transformations required to make the data easy to use by the business; ensuring that the target data model is coherent and works in conjunction with the other data models in the data warehouse.
Responsibilities:
Required skills:
Desirable experience:
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