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Open nowPosted 16 hours ago

Data Engineer

EURES job mobility portal293,565 open roles

Where
Groot-Amsterdam, Netherlands
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Your applicationOpen nowData EngineerEURES job mobility portal · Groot-Amsterdam, Netherlands

  1. YouYes, apply to this one.

  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.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

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 16 hours ago

The posting

Datacation icon Hewlett Packard Spreek een expert Datacation iconDatacation icon Amsterdam Wibautstraat 137 1097 DN Eindhoven High Tech Campus 5 P0.91 5656 AE KvK 82577102 IBAN NL25INGB0006939823 BTW NL862525330B01 Contact ons [email protected] Datacation office Functieomschrijving Als data engineer pak je een actieve rol in uitdagende data- en cloudprojecten. Je werkt niet alleen uitvoerend, maar denkt ook mee over het ontwerp van pipelines en architectuur. In samenwerking met onze senior engineers en consultants ontwikkel je je verder tot specialist. Je krijgt de ruimte om eigenaarschap te tonen binnen projecten. Je werkzaamheden bestaan onder andere uit: - Het vertalen van business uitdagingen naar schaalbare data-gedreven oplossingen. - Het zelfstandig bouwen, optimaliseren en onderhouden van data pipelines (batch en streaming) in o.a. Azure. - Werken met de moderne stack zoals Azure Databricks, PySpark, Azure Data Factory, Azure Data Lake en orchestrators. - Het ontwerpen en implementeren van Data Lake structuren zoals de medallion architecture (bronze/silver/gold). - Containerization toepassen met Docker en het opzetten of beheren van CI/CD pipelines (bijv. GitHub Actions). - Actief communiceren met de klant over de voortgang en technische keuzes. - Kennis delen en sparren met onze senior data engineers en data consultants. - Je eigen oplossingen en resultaten presenteren aan opdrachtgevers. - Het bezoeken van evenementen om je netwerk en kennis te vergroten. Wat verwachten we van jou? - Aantoonbare ervaring (minimaal 2 jaar) met data engineering, cloud en het in productie brengen van datapipelines. - Goede beheersing van Python en ervaring met libraries zoals PySpark, Pandas of NumPy. - Sterke vaardigheden in SQL en data modelling. - Ervaring met cloud tooling (bij voorkeur Azure) zoals Databricks, Data Lake, ADF of Synapse. - Ervaring met CI/CD, Git, Docker en serverless technieken. - Een MSc of...

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against EURES job mobility portal's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on EURES job mobility portal's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    EURES job mobility portal's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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