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Open nowPosted 42 hours ago

Data Engineer

EURES job mobility portal324,705 open roles

Where
Groot-Amsterdam, Netherlands
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Your applicationOpen nowData EngineerEURES job mobility portal · Groot-Amsterdam, Netherlands
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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 42 hours ago

EURES job mobility portal median: 3 days open

The posting

Data Engineer (NL) - On-site, Hybrid - - Amsterdam , Noord-Holland , Netherlands - Xccelerated Data Engineer Ready to break boundaries in the analytical world? Accelerate your data engineering career with our advanced training program. We fully pay this program as well as your salary. Your job? Working as a data engineer at one of our clients like Lely, ING, ASML or KLM on challenging projects. What kind of projects? ✅ Help data-driven organizations move, process and store data by building data warehouses, data lakes and distributed data meshes ✅ Productionizing machine learning models ✅ Apply engineering practices to pick the best tools for the job ✅ Use raw data gathered from data pipelines to build production ready scalable applications driven by data and AI The role itself - 2 fulltime weeks of hands-on bootcamp training where you'll focus on writing deployable code, containerization, data engineering and cloud fundamentals - Work 4 days a week as a data engineer at one of our clients like Heineken, Rabobank, ASML, Lely, FedEx, Vattenfall - Join us every Friday at the Xccelerated office in Amsterdam/ on remote. Here you will get ongoing training and project support from our technical leads - At the end of your first year, you get the opportunity to join the partner organization directly As a data engineer you will work together with other medior- and senior team members on challenging projects for our clients. In these projects you take on complex problems such as building data pipelines, productionizing machine learning models and building custom software solutions. Part of the job is dealing with a variety of data types and formats; different data velocity from batch to near-real time; and scale from one machine to distributed systems. You're not afraid to get your hands dirty with infrastructure, either in the cloud or on-premises. And most importantly you apply engineering practices to pick the best tools for the...

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