Analytics Engineer transforming raw data into actionable insights. Collaborating on data projects for innovative retail solutions using Python, SQL, and GCP.
Responsibilities
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.
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