דרושים BI Data Engineer בתל אביב

**Who are we?

**Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and machine learning to deliver intelligent solutions based on data with performance media, enabling smarter decision-making, increased efficiency, and maximized returns - Revenue enabler for businesses around the world. Its partners include Google, Meta, Amazon, and Microsoft and more. ~$7 billion in ad spending is managed on the SkaiTM platform every year.

Established in 2006, We’re 700 employees strong. We work hybrid with a great home/ office work mix.

**What will you do?

**As a BI Data Engineer at Skai, you will play a key role in designing, developing, and maintaining scalable data solutions that generate business impact.

Key Responsibilities:

• Design and implement robust data models, ETL pipelines, and data flows that support advanced analytics and reporting across the organization.
• Develop new data solutions from scratch while maintaining and enhancing existing infrastructure
• Partner with the Data Architect to manage and evolve Skai’s data architecture, ensuring it accurately reflects and supports the evolving business model.
• Work closely with business stakeholders to convert complex requirements into actionable data insights that drive informed decisions.
• Become a focal point for all data-related matters in the organization.

Requirements:

• Bachelor's degree in Industrial Engineering, Information Systems, or a related field.
• Minimum of 3+ years in a BI Developer or Data Engineer role.
• Advanced SQL
• Python scripting – For data manipulation, automation, and pipeline support.
• BI Tools Experience: Such as Tableau, QlikView. For building dashboards and visual insights.
• Data Warehouse Experience.
• ETL Optimization – Experience in tuning SQL and improving data workflows.
• Experience with Snowflake and Airflow – Big advantage.
• Exposure to CI/CD pipelines with Jenkins – Advantage.
• Familiarity with modern data stack tools such as Databricks, Kafka, Spark, Docker – A plus.