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# Data Engineer (AgriTech)

- **Company:** LGA IT
- **Location:** Zulte, Belgium (Remote available)
- **Experience:** Experienced
- **Salary:** €20,800.0
- **Contract:** Permanent contract
- **Skills:** Information Systems, Data Architecture, Extract Transform Load (ETL), Data Structures, Power BI, SQL Databases, Azure Data Factory, Microsoft Fabric, Data Lakes, Information Technology
- **Published:** August 30, 2026
- **Apply:** https://www.vdab.be/vindeenjob/vacatures/74455890

## About the Role

Academische bachelor

Minstens 2 jaar ervaring

Minstens 2 jaar ervaring

* Opleiding: Bachelor- of masterdiploma in Computer Science, IT, Engineering, Bio-ingenieurswetenschappen of vergelijkbaar.
 * Ervaring: Relevante werkervaring als Data Engineer met moderne dataplatforms, integratietechnologieën en data-architectuur.
 * Technische skills: Uitstekende SQL-expertise en ervaring met het Azure Data Platform (Data Lakes, ETL/ELT, datamodellering).
 * Rapportage: Grondige kennis van Power BI en/of Microsoft Fabric voor het opzetten van schaalbare, goed presterende rapportage-omgevingen.
 * Kwaliteitsfocus: Oog voor databetrouwbaarheid en de drive om stabiele, schaalbare data-oplossingen op te leveren.
 * Soft skills: Hands-on mentaliteit, sterk probleemoplossend vermogen en een heldere communicatiestijl richting technische én operationele collega's.

Apparatuur, informatiesystemen en -overdragers voorbereiden of monteren (conditionering, logistiek, ...)

## Description

* Platform & Datakwaliteit: Eigenaarschap nemen over het dataplatform en de kwaliteitscontrole van alle ingelezen broed- en sensordata.
 * Analyse & Oplossingen: Grondig analyseren van broedprocessen, temperatuur- en vochtpatronen en uitkomstpercentages om concrete technische verbeteringen door te voeren.
 * Inzichten & Impact: Ruwe sensordata en logistieke gegevens omzetten in bruikbare inzichten om broedresultaten en dierwelzijn direct te verhogen.
 * Dashboarding: Ontwikkelen en onderhouden van overzichtelijke Power BI-dashboards voor broedmeesters, operationele teams en het management.
 * Samenwerking: Nauw samenwerken met IT, R&D en de operationele teams op de broederijlocaties om datastromen naadloos te integreren.
 * Kennisdeling: Optreden als technisch aanspreekpunt en complexe datastructuren begrijpelijk uitleggen aan zowel ontwikkelaars als de business.


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