Description:
ryze beyond is an online company specializing in the comparison market, helping millions of users make smarter, data-driven purchasing decisions. Our trusted platforms connect consumers with leading global brands, simplifying decision-making and delivering high-value insights.
We’re looking for a Data Engineer to join our BI Team within the R&D department. This role is all about building and maintaining robust data pipelines and enabling data-driven decision-making across all departments.
Responsibilities:
- Develop and maintain ETL processes and data pipelines to ensure smooth, accurate data flow.
- Designed, built, and managed Airflow DAGs to orchestrate complex data workflows and ensure reliable execution of ETL and analytics tasks
- Design and optimize relational databases, including conceptual and physical data modeling (ERD), schema design, and performance tuning to support scalable analytics and business applications.
- Collaborate with cross-functional teams to translate business needs into technical solutions.
- Build and maintain automation processes powered by algorithms to optimize workflows for reducing manual effort.
- Build and maintain custom data scripts for integrations with brand and publisher partners
- Support data visualization efforts through BI tools.
- Gain in-depth understanding of discrepancy processes across departments and improve data accuracy.
Requirements:
- 3-5 years of hands-on experience in data engineering or BI development.
- Strong SQL skills (complex queries, stored procedures).
- Practical experience with ETL processes and data pipelines.
- Experience with Airflow, Dagster, or similar orchestration tools.
- 1+ Hands-on experience with Python.
- Knowledge of database architecture (ERD, OLTP/OLAP models).
- Strong analytical mindset with the ability to translate business requirements into data solutions.
- B.Sc. degree in Information Systems Engineering, Industrial Engineering, or a related field.
- Experience with DBT, BigQuery, AWS – advantage.