Snowflake Data Engineer & BI Consultant (Global)

Editx

Zaventem

Sur place

EUR 60 000 - 100 000

Plein temps

Il y a 7 jours
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Résumé du poste

Editx is seeking a Data Engineer / BI Consultant to join our international client team in Belgium to design, develop, and optimize the data ecosystem. You will drive end-to-end data pipelines, governance, and reporting capabilities across regions.

The role emphasizes Snowflake-based pipelines, SQL/Linux automation, and a modern Data Mesh approach combining data lake and warehouse concepts, with collaboration across time zones and stakeholders.

Qualifications

  • Proficiency in SQL and Linux/Bash for data integration and automation.
  • Experience building and maintaining data pipelines and transformations.
  • Knowledge of modern data architectures (Data Mesh, Data Lake, Data Warehouse).

Responsabilités

  • Develop, maintain, and optimize data pipelines within Snowflake.
  • Use SQL and Linux/Bash for data integration and automation.
  • Implement and maintain Data Mesh architecture with Data Lake and Data Warehouse principals.
  • Ensure reliability, scalability, and performance of data flows and reporting.
  • Collaborate with international stakeholders across countries/time zones.
  • Translate business requirements into robust data solutions.
  • Support continuous improvement of reporting, analytics, and BI capabilities.
  • Contribute to data quality, governance, and optimization initiatives.
  • Participate in cloud data platform and digital transformation projects.

Connaissances

SQL
Linux/Bash
Data pipelines
Data integration
Data transformation
Data mesh
Data warehousing

Outils

Snowflake

Description du poste

Editx is seeking a Data Engineer / BI Consultant to join our international client team in Belgium to design, develop, and optimize the data ecosystem. You will drive end-to-end data pipelines, governance, and reporting capabilities across regions.

The role emphasizes Snowflake-based pipelines, SQL/Linux automation, and a modern Data Mesh approach combining data lake and warehouse concepts, with collaboration across time zones and stakeholders.

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