Analytics Engineer: Build Scalable Data Models & Insights

dataroots, a Talan company

Brussel Hoofdstad

Hybride

EUR 60 000 - 90 000

Plein temps

Il y a 11 heures
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Avantages offerts par ce poste

Company car & fuel card or mobility
Hospitalisation insurance
Group insurance
Laptop and smartphone
Training budget
Innovation budget
Team buildings

Résumé du poste

Dataroots seeks an Analytics Engineer to wrangle and model data, enabling business users to gain insights from datasets. You will collaborate with data engineers and analysts to deliver scalable data solutions and maintain strong data quality.

You will guide customers on starting analytics engineering practices within their teams, while embracing agile teamwork and effective communication. Some Dutch may be preferred and travel to client sites may occur.

Qualifications

  • Experience with dbt and building a dbt project from scratch.
  • SQL is your second language and you know data warehouses in the cloud.
  • Understanding of (big) data structures & formats and related warehouses.
  • CI/CD concepts and able to configure pipelines for data projects.
  • Git, pull requests and code reviews are second nature to you.

Responsabilités

  • Wrangle and model data to empower users of datasets.
  • Collaborate with data engineers and analysts to extract insights for customers.
  • Advise customers on starting analytics engineering within their data teams.

Connaissances

SQL proficiency
Python scripting
Data modeling
Analytical mindset
Communication skills
Agile & teamwork
Fluent English
Dutch preferred

Outils

dbt
Git
CI/CD
Python

Description du poste

Dataroots seeks an Analytics Engineer to wrangle and model data, enabling business users to gain insights from datasets. You will collaborate with data engineers and analysts to deliver scalable data solutions and maintain strong data quality.

You will guide customers on starting analytics engineering practices within their teams, while embracing agile teamwork and effective communication. Some Dutch may be preferred and travel to client sites may occur.

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