About the role

  • Build and maintain reliable, scalable data pipelines using dbt, Python and SQL, integrating retail and business data sources.
  • Optimize data workflows on GCP to ensure performance and cost efficiency.
  • Collaborate with Data & BI teams to translate business needs into robust models and high-performance dashboards.
  • Implement best practices for testing, documentation and data governance.
  • Ensure the quality and reliability of datasets for Data Science and Analytics teams.
  • Drive innovation and propose new solutions to improve pipelines and data architecture.

Requirements

  • 5+ years of experience in Analytics Engineering or Data Engineering with a BI focus.
  • Strong experience with Python, SQL and dbt for developing analytical pipelines.
  • Proficiency in GCP (BigQuery, Cloud Storage, Airflow or equivalent).
  • Solid understanding of data modeling concepts, ETL/ELT processes and analytics engineering best practices.
  • Experience in the Retail sector or business-oriented data is a plus.

Benefits

  • Competitive, experience-based salary with room for growth.
  • Partial remote work to support a healthy work-life balance.
  • Company-paid complementary health insurance and 100% coverage of public transport pass.
  • Large-scale retail projects with direct impact on business decisions.
  • Opportunity to work with passionate teams and grow technically.

Job title

Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

€48,000 - €75,000 per year

Degree requirement

No Education Requirement

Location requirements

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