Data Warehouse Designer - Hybrid (Krakow)

Kingfisher plc; Kraków; Hybrid; PLN 179,000 - 268,000; Full time

Benefits offered by this job

Private medical healthcare

Medicover sports card

Life insurance

Lunch break 30 min

Hybrid/Work from home

Wellbeing programme

Transport tickets subsidy

Language courses & LinkedIn Learning

Employee referral programme

Buddy programme

Job summary

Kingfisher plc in Kraków is seeking a Data Designer to shape how data is ingested from source systems into the Enterprise Data Warehouse and transformed for reporting.

You will analyse source systems, define ingestion frequencies, document mappings and transformations, and ensure the data model aligns with our data warehouse roadmap and standards. Collaboration with data engineers and QA teams will be essential to deliver reliable, scalable data solutions.

Qualifications

• 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.

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.
• Creating and maintaining logical and physical data models for the data warehouse solutions.
• Creating and updating source to target data mappings, defining transformations and calculations, and capturing metadata.
• Supporting Data Engineers in the implementation of the designs.
• Supporting Quality Engineers in the testing of the data warehouse objects.

Skills

SQL

Attention to detail

Proactive mindset

Collaborative work

2+ yrs DW

MI/BI data experience

Tools

Databricks

ETL processes

Job description

Kingfisher plc in Kraków is seeking a Data Designer to shape how data is ingested from source systems into the Enterprise Data Warehouse and transformed for reporting.

You will analyse source systems, define ingestion frequencies, document mappings and transformations, and ensure the data model aligns with our data warehouse roadmap and standards. Collaboration with data engineers and QA teams will be essential to deliver reliable, scalable data solutions.