Senior Data Engineer at ryze beyond

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

04 Apr, 26

Salary

0.0

Posted On

04 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Processes, Data Pipelines, SQL, Airflow, Python, Database Architecture, Data Modeling, Analytics, Automation, Data Visualization, BI Tools, Cross-Functional Collaboration, Data Accuracy, Algorithms, Schema Design

Industry

technology;Information and Internet

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 Senior Data Engineer to join our 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+ years of hands-on experience in data engineering . Strong SQL skills (complex queries, stored procedures). Practical experience with ETL processes and data pipelines. Experience with Airflow, Dagster, or similar orchestration tools. 2+ 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. Advantages null

Responsibilities

The Senior Data Engineer will develop and maintain ETL processes and data pipelines, ensuring smooth and accurate data flow. They will also collaborate with cross-functional teams to translate business needs into technical solutions.