Data Architect

Kingfisher Recruitment • Python • Power BI • ETL/ELT • 29 days ago
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Salary
≈ $80k – $191k per year (Estimated)
Location
In office (Kortrijk)
Seniority
Staff
Employment
Full-Time

First seen by Alion on Sep 25, 2026.

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Kingfisher Recruitment

Headquartered in Herentals, Belgium, Kingfisher Recruitment is a specialized recruitment and staffing agency. The company provides tailored talent acquisition, interim management, and executive search solutions across key professional domains, including information technology, engineering, supply chain, finance, and legal sectors. By matching qualified experts and technical specialists with leading organizations, the enterprise empowers businesses to build agile teams and address critical workforce needs.
kingfisher-recruitment.be • HQ: Herentals, Belgium • Transportation & Logistics • Supply Chain

Deze onderneming combineert een zeer hechte familiale sfeer met een internationale structuur en reputatie. Ze zijn actief in de recyclage van een breed gamma aan materialen en zijn pionier op vlak van sustainability en duurzaamheid. 


Jobomschrijving

Als Data Architect ben je verantwoordelijk voor het beheren, migreren en optimaliseren van de data-architectuur binnen de organisatie. Je werkt aan de overgang van het bestaande datawarehouse naar een moderne omgeving en ontwikkelt datamodellen en datastromen uit verschillende systemen. Daarnaast ondersteun je bij het opzetten van rapporteringen en dashboards (via bv. Power BI) en help je om data om te zetten in bruikbare inzichten voor diverse afdelingen. Je speelt ook een rol in de uitbouw van een centraal rapporteringsplatform en draagt bij aan een efficiënte en toekomstgerichte dataomgeving. Hierbij werk je zowel zelfstandig als in teamverband aan technische en analytische uitdagingen.

  • Bachelor of master in IT is een must
  • Minstens een eerste relevante ervaring met data visualisatietools zoals Power BI of Tableau
  • Ervaring met Python en SQL
  • Kennis van datawarehousing, datamodellering en ETL-processen
  • Ervaring met moderne data platformen (bv. Microsoft Fabric) is een plus
  • Analytisch, nauwkeurig en oplossingsgericht
  • Zelfstandig kunnen werken en tegelijk een teamspeler zijn
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