BI Data Engineer
Tel Aviv-Yafo, Tel Aviv District, IL
Skai
With Skai’s omnichannel marketing platform, brands and agencies get data-driven marketing intelligence, connected media & measurement technology at scale. Get a demo.Description
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture CI/CD Databricks Data warehouse Docker Engineering ETL Industrial Jenkins Kafka Machine Learning Pipelines Python QlikView Snowflake Spark SQL Tableau
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