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Open nowPosted 59 days ago

Data Engineer

EURES job mobility portal138,335 open roles

Where
Antwerpen, Belgium
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Your applicationOpen nowData EngineerEURES job mobility portal · Antwerpen, Belgium
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 59 days ago

The posting

Antwerpen gelooft in vernieuwing als zuurstof voor de stad. Het bepaalt haar hartslag en geeft mensen energie. Met deze constante drang naar vernieuwing maken ze van Antwerpen de best mogelijke leef-, werk-, beleef- en leerstad. Bij Digipolis Antwerpen, de IT-partner van 't stad, zetten we elke dag onze enthousiaste schouders onder deze missie. Wij zijn altijd op zoek naar nieuwe collega's om onze rangen te vervoegen. Voel je 't kriebelen? Check onze vacatures via jobs.digipolis.be!

Jobomschrijving

Als Data Engineer teken je binnen het nieuwe cloud-gebaseerde dataplatform zelfstandig dataprojecten uit voor onze klanten en zorg je samen met je collega’s voor de concrete implementatie ervan. Je streeft ernaar potentieel te halen uit grote hoeveelheden gestructureerde en ongestructureerde data. Je voorziet een rapporteringsomgeving waarop de klant/eindgebruiker zelf analyses en rapporten kan raadplegen. Je bent vertrouwd met verschillende technologieën binnen een medaillon architectuur. Je analyseert welke rapporteringsvragen er zijn, zodanig dat je de data hierop kan modelleren. Als data engineer deel jij je kennis met collega’s zodat het team zich steeds verder blijft ontwikkelen.

Verantwoordelijkheden

  • Je modelleert data op basis van rapporteringsnoden en bouwt datamodellen en rapporteringsomgevingen die bruikbaar zijn voor diverse stakeholders.
  • Je zet data om naar geavanceerde inzichten (predictive en prescriptive) op een innovatieve manier.
  • Je ontwikkelt performante datapipelines en integraties vanuit verschillende bronnen en neemt ownership op binnen projecten.
  • Je voert projecten zelfstandig uit.
  • Je spoort opportuniteiten op vanuit de beschikbare data en processen van de organisatie of klant.
  • Je communiceert met eindgebruikers en partners over rapportering en databehoeften, en vraagt feedback over het geleverde werk en de samenwerking

Technische Competenties

  • Kennis van datawarehouse-architecturen.
  • Grondige kennis van ETL/ELT-architecturen, batch & speed data-architecturen en integratiepatronen.
  • Ervaring met het bouwen van performante datapipelines en integraties met tools zoals Microsoft Fabric, Spark en gerelateerde technologieën.
  • Sterke SQL-kennis, inclusief query-optimalisatie en kennis van relationele databanken.
  • Ervaring met verschillende databronnen zoals relationele databases, API’s en NoSQL-technologieën
  • Kennis van datamodellering volgens Kimball methodologie.
  • Kennis van Python en het Python-data-ecosysteem (data science libraries, dataverwerking en -analyse).
  • Inzicht in lakehouse en datamesh architecturen.
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