Senior Analytics Engineer designing scalable data models and optimizing data pipelines at Klar. Collaborating with cross - functional teams to ensure data quality and mentorship of business analysts.
About the role
- 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.
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
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