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Open nowPosted 29 days ago

Analytics Engineer

EURES job mobility portal437,260 open roles

Where
Groot-Rijnmond, Netherlands
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Your applicationOpen nowAnalytics EngineerEURES job mobility portal · Groot-Rijnmond, 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.

15.1% of postings close within 7 days. Measured by our own scanner across the market. EURES job mobility portal postings stay open a median of 6 days.

Share of postings closed within
  1. 2.4%1 day
  2. 6.5%3 days
  3. 15.1%7 days
This job: posted 29 days ago

EURES job mobility portal median: 6 days open

The posting

Rotterdam, The Netherlands Crystalloids was founded in 2006 and consists of a team of experienced software and data specialists who help organizations innovate and grow by developing data-driven solutions. We are a Premier Google Cloud Partner. We believe successful solutions are built on three pillars: people, processes, and technology. At Crystalloids, we consider all three dimensions in everything we design and build for our clients. Over the years, we have built an impressive client portfolio across industries including retail, e-commerce, consumer packaged goods (CPG), media, travel, and leisure. Our clients include Rituals, KNVB, Body & Fit, FD Mediagroep, and ACSI. What Will You Do as an Analytics Engineer? At Crystalloids, we help organizations become truly data-driven and AI-driven by building scalable and efficient data platforms on Google Cloud Platform (GCP). As an Analytics Engineer , you will work at the intersection of data engineering, analytics, and AI. You will transform raw data into valuable insights using dbt and SQL, build reliable data models, and actively contribute to data engineering within the GCP ecosystem. AI is part of how you work At Crystalloids, AI is not a separate initiative or an occasional experiment. It is part of your daily engineering workflow. You will use modern AI tools to increase your development speed, automate repetitive work, accelerate debugging, generate and improve tests and documentation, explore solutions, and challenge your own technical approach. We expect our Analytics Engineers to continuously develop their ability to work effectively with AI, while critically validating AI-generated outputs and remaining fully responsible for the quality, security, and maintainability of what they deliver. You will learn how to combine strong engineering fundamentals with AI-assisted development to deliver better solutions faster. You will also contribute to creating AI value for our cl...

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