JOB DETAILS

Data Engineer

CompanyMize
LocationTel-Aviv
Work ModeOn Site
PostedJanuary 18, 2026
About The Company
Mize is the leading hotel booking optimization solution in the world. With over 250 partners using our fintech products, Mize creates new extra profit for the hotel booking industry using its fully automated proprietary technology and has generated hundreds of millions of dollars in revenue across its suite of products for its partners. Mize was founded in 2016 with its headquarters in Tel Aviv and offices around the world.
About the Role

Mize is a dynamic Fintech-travel startup headquartered in Tel Aviv, with a global presence in Argentina, Spain, the UK, the US, and India. Leveraging cutting-edge technology, Mize addresses evolving challenges in the travel industry, generating an impressive $12 Billion in sales annually. As a pioneer in the field, we are committed to delivering real financial value to our extensive network of clients.

What you will do:

  • Design & develop our data pipeline infrastructure using our cloud infrastructure based on Azure from conception to deployment.
  • Drive the development and enhancement of our Data Lakehouse while ensuring seamless integration with our data warehouse.
  • Define the company’s data engineering roadmap and make sure it’s implemented using cutting-edge technologies
  • Collaborate with various stakeholders across the company such as data scientists, analysts, engineers, and product managers

Requirements

  • 3-4 year of experience working as a hands-on Data Engineer
  • Proficiency with Python and SQL
  • Experience with cloud environments (Azure preferred) and big data technologies
  • Experience with ETL pipeline design, implementation, and maintenance
  • Experience working with relational and non-relational databases and data modeling
  • Experience designing, deploying, and maintaining large-scale data infrastructure.
  • Fast and self-learner with the ability to work independently
  • Excellent communication skills in English
  • B.Sc. in Computer Science, Engineering, or equivalent field
  • Databricks and PySpark – Big advantage
Key Skills
Data EngineeringPythonSQLCloud EnvironmentsAzureBig Data TechnologiesETL PipelineData ModelingRelational DatabasesNon-relational DatabasesData InfrastructureCommunication SkillsSelf-learningDatabricksPySpark
Categories
TechnologyData & AnalyticsEngineeringFinance & Accounting
Job Information
📋Core Responsibilities
Design and develop data pipeline infrastructure using Azure cloud. Collaborate with stakeholders to enhance the Data Lakehouse and implement the data engineering roadmap.
📋Job Type
full time
📊Experience Level
2-5
💼Company Size
86
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
Apply Now →

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