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Open nowPosted 3 days ago

Data Engineer Rademaker

EURES job mobility portal612,521 open roles

Where
Zuidwest-Gelderland, Netherlands
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Your applicationOpen nowData Engineer RademakerEURES job mobility portal · Zuidwest-Gelderland, 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

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The clock on this job

Early applications get read.

10.7% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 9 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.4%3 days
  3. 10.7%7 days
  4. 16.1%14 days
  5. 34.1%30 days
This job: posted 3 days ago

EURES job mobility portal median: 9 days open

The posting

Do you enjoy turning raw machine data from a production line into reliable insights that customers actually use to guide their decisions? Do you enjoy building a scalable data pipeline just as much as you enjoy thinking about the architecture behind it? And do you want to be part of the foundation of a brand-new Data & AI team? Then we're looking for you. What will you be doing as Data Engineer? As a Data Engineer, you lay the foundation for everything our Data & AI team does. You ensure that data from our installed production lines is reliable, structured, and usable so that it can serve as the basis for dashboards, predictions, and ultimately autonomous, self-managing dough mixers. You'll work closely with our AI Developer, our PLC and OT engineers, and domain experts from the baking industry. Your responsibilities will include: - Our Data Enablement platform: You'll build and maintain the data pipelines that convert raw machine data-via a layered architecture (from the PLC, through a Siemens Industrial Edge device, to Azure and the Customer Portal)-into reliable, contextualized information-such as recipe, time, and status. - Smart sensor data: You collect data from sensors and scanners on the production line, validate it, and process it into time series ready for analysis. - Proactive, data-driven analysis: You combine machine data with data from business systems such as SAP, enabling us to identify patterns and opportunities early on-for example, predicting parts demand or service and downtime signals. - Information Packs: concrete data products that give customers and colleagues immediate insight into machine performance, such as OEE Availability (live availability, downtime, and alarms) and Dough Metrics (dough quality and weight monitoring). You'll help develop follow-up solutions such as Machine Health and predictive maintenance. In practical terms, this means you'll: - Design, build, and maintain scalable data pipelines-...

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