JOB DETAILS

Data Engineer

CompanyRise
LocationTel-Aviv
Work ModeOn Site
PostedDecember 21, 2025
About The Company
With a history in digital media, analytics, and customer experience, Rise proudly joins Quad, a global Marketing Experience company, to challenge the status quo and redefine the future of integrated marketing, together. As a full-service media agency, we move at the speed of opportunity with passion, inclusion, and understanding. We foster a culture of positivity and perseverance to usher in the future of media and challenge the status quo. At Rise, we create omnichannel experiences using our proprietary tech stack and advanced analytics capabilities to help solve the unique struggles brands face today. This approach, with transparency at its core, specializes in omnichannel media, commerce and retail media, advanced in-home media, as well as content and creator marketing. Please note: Rise will never ask you to install an app or send money as part of the hiring process.
About the Role

We’re looking for a Data Engineer to design and build ETL processes that turn raw data into clean, aggregated datasets. You’ll work closely with analysts, product, and business teams to understand needs and deliver scalable, production-ready data models.

This is a hands-on role in a high-scale environment, working with massive data volumes and real business impact.


Responsibilities

  • Design and build end-to-end ETL processes using Python, SQL, and Spark
  • Translate business needs into robust data solutions—don’t just execute, help shape the direction
  • Own the development of data tables and pipelines that are maintainable, reusable, and scalable
  • Collaborate with analysts, data scientists, and other stakeholders to understand requirements
  • Drive automation and avoid redundant tables and duplicated logic
  • Monitor, troubleshoot, and continuously improve data workflows

Requirements

  • 3+ years of hands-on experience as a Data Engineer or in a similar role
  • Strong knowledge of SQL and Python
  • Experience with Apache Spark or similar big data frameworks
  • Familiarity with Airflow or other orchestration tools
  • Comfortable working in a cloud-based environment 
  • Strong business intuition
  • Independent, proactive, and curious
  • Experience working with large-scale data and building clean, efficient data infrastructure

Advantages

null
Key Skills
Data EngineeringETL ProcessesPythonSQLApache SparkBig DataAirflowCloud ComputingData SolutionsData TablesData PipelinesAutomationData WorkflowsCollaborationTroubleshootingBusiness Intuition
Categories
TechnologyData & AnalyticsEngineering
Job Information
📋Core Responsibilities
Design and build end-to-end ETL processes using Python, SQL, and Spark. Collaborate with analysts and business teams to deliver scalable, production-ready data models.
📋Job Type
full time
📊Experience Level
2-5
💼Company Size
429
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page