Database Analytics Engineer

EUROPEAN DYNAMICS · Remoto · Brussels

Recebendo candidaturas · conferida em 14/11

Ficha da vaga

Modelo
Remoto
Onde aceita
Não informado
Senioridade
Senioridade não informada
Salário
Salário não divulgado

Fonte: Workable · Ver vaga original →

  • sql
  • analise dados
  • python
  • gestao projetos
  • resolucao problemas

Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.

Sobre a vaga

EUROPEAN DYNAMICS is seeking a Database Analytics Engineer fluent in English to design and develop data transformation pipelines, optimize dbt projects, and implement data quality checks in Brussels.

O que você vai fazer

  • Design and develop scalable, reliable data transformation pipelines and workflows;
  • Optimise the performance and execution times of dbt projects;
  • Design, implement, and document data quality checks and control tests using dbt capabilities;
  • Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency;
  • Promote and share best practices for maintaining, managing, and evolving dbt projects across the team;

O que pedem

  • fluent in English

Descrição completa da vaga

We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site.

Tasks: Design and develop scalable, reliable data transformation pipelines and workflows; Optimise the performance and execution times of dbt projects; Design, implement, and document data quality checks and control tests using dbt capabilities; Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency; Promote and share best practices for maintaining, managing, and evolving dbt projects across the team; Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines.

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