Data Modeler - Data Warehouse

Overview

Data Modeler – Data Warehouse

 (Hybrid, Cluj, Romania)

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 Cluj. 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 offer a competitive benefit package and plenty of opportunities to stretch and grow your career:

• Annual performance bonus
• Employee referral bonus
• Private medical coverage (Regina Maria – Priority Plan)
• Option to extend coverage to your spouse or children at no extra cost
• Life insurance (Metropolitan Life)
• Eyeglasses vouchers
• Wellhub fitness membership (co-funded)
• Access to LinkedIn Learning, LEO Learning, and Bookster
• Fresh fruit bar and premium coffee
• Modern, collaborative workspace
• Hybrid work model
• Flexible working schedule
• 21 days of annual leave + extra days based on tenure (up to 25 days)
• Additional days off when public holidays fall on weekends
• Paid leave for special life events
• Meal vouchers
• Gift vouchers (up to 4 per year), offered for occasions like Christmas, Easter, March 8th, and June 1st

What's the job?

Role Purpose: 

The 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: 

• Designing data warehouse solutions driven by business demand.
• Understanding straightforward solution requirements, working with the business to clarify them if necessary.
• Identifying and documenting the possible data sources that may be required and analysing/profiling the data they contain; working with the source system and/or business experts to understand how the business processes create and update data.
• Creating and maintaining logical and physical data models for the data warehouse solutions, working with the Platform Data Architect to ensure they fit with the data roadmap and principles.
• Creating and updating source to target data mappings, defining transformations and calculations, and capturing metadata (e.g. attribute definitions, datatypes, PII classification, etc.) working with the Platform Principal Data Designer to make sure they are in line with our principles and conventions.
• Supporting Data Engineers in the implementation of the designs.
• Supporting Quality Engineers in the testing of the data warehouse objects.

What you'll bring

Required Skills: 

• Intermediate-level SQL querying.
• Strong attention to detail.
• A proactive and curious mindset.
• A collaborative approach to work.
• 2 years experience of working with data in data warehouses or 5 years experience working with MI/BI data.

Desirable Experience:

• Experience of data profiling.
• Knowledge of ETL processes.
• Understanding of data quality management.
• Understanding of data lifecycle management.
• Experience of working with data in Databricks.