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Open nowPosted 81 days ago

Data Engineer @itenium

EURES job mobility portal298,592 open roles

Where
Mechelen, Belgium
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Your applicationOpen nowData Engineer @iteniumEURES job mobility portal · Mechelen, Belgium
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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on EURES job mobility portal's own form.

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The clock on this job

Early applications get read.

7.8% 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. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 81 days ago

The posting

Wij zijn op zoek naar een gepassioneerde en getalenteerde ontwikkelaar met de drijfveer om zijn/haar vaardigheden voortdurend te blijven leren en verbeteren.

Verantwoordelijkheden

  • Bouwen en onderhouden van schaalbare, efficiënte ETL/ELT-pijplijnen.
  • Optimaliseren van data lakes en datawarehouses voor prestaties en kwaliteit.
  • Ontwerpen van robuuste datamodellen voor analyses en machine learning.
  • Samenwerken met analisten, wetenschappers en belanghebbenden.
  • Automatiseren van dataworkflows en bijdragen aan CI/CD-pijplijnen.

Heb jij:

  • de drive om continu bij te leren?
  • zin om deel uit te maken van een jong, dynamisch team dat dezelfde waarden deelt?
  • een sterk verantwoordelijkheidsgevoel voor wat je oplevert?
  • de voorkeur voor kwaliteit boven kwantiteit?
  • de toewijding om kwaliteit en professionaliteit bij onze klanten te brengen?
  • de wens om begeleid te worden door de beste technische mensen (20+ jaar ervaring) om je ontwikkeling en carrière te stimuleren?
  • de ambitie om de nieuwste technologieën te leren om je passie te blijven voeden?
  • een goede beheersing van het Nederlands en een grondige kennis van het Engels?

Technologie & Ervaring

Je hebt ervaring met:

  • 5+ jaar in data engineering of een gerelateerde functie.
  • Sterke vaardigheden in SQL en Python.
  • Azure, AWS of GCP.
  • Azure Data Factory, Databricks, Spark of Kafka.
  • Data lakes en datawarehousing (bijv. ADLS, Snowflake, BigQuery).
  • Datamodellering en DevOps-concepten.
  • Klantgerichte communicatie en samenwerking met belanghebbenden.

Aangename extra's (Nice to have):

  • Power BI of vergelijkbare visualisatietools.
  • Ervaring met machine learning of AI-workflows.
  • Relevante certificeringen (Azure Data Engineer, Databricks, etc.).
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