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about breezometer

We’re on the lookout for passionate, curious, and creative people who are super excited to contribute to a global mission, and receive a community of inspiration and celebration in return. BreezoMeter puts a focus on the right culture and celebrates its employees. Whether you are an engineer, scientist or developer, an expert in design, sales or marketing, we want to cultivate your talent with you.

Data Engineer

Israel (Hybrid - Haifa, Tel Aviv or Rehovot)


BreezoMeter is looking for a Data Engineer to build our cutting-edge environmental data and insights platform, that impacts the lives of millions of our users around the world.

In this position, you’ll be working with exceptional people in a multidisciplinary R&D team to create inspiring data-driven solutions


  • Passionate about the combined power of great software, data, and the cloud
  • Curious and enthusiastic to learn
  • Independent in their approach and learning
  • Passionate about the combined power of great software, data and the cloud
  • Team players
  • Thoughtful, positive and proactive
  • Flexible and possess a “can-do” attitude


  • Manage and execute data warehouse plans for a product or a group of products
  • Identify the data needed for a business problem and build the infrastructure ensuring availability of data
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Build data expertise and leverage data controls to ensure privacy, security, and data quality
  • Design, build and deploy new data models and visualizations, leveraging common development tools and frameworks
  • Build and deploy ETL processes, as well as mentor others around efficient work with various data sources


  • 3+ years of experience as a Data Engineer
  • 2+ years of experience with Python or similar
  • Experience with both relational and non-SQL databases
  • Experience with data platform architecture
  • Experience with some of the following technologies: Kafka, Spark, GCP BigQuery, AWS Glue, AWS Athena, Tableau
  • Experience building complex ETLs processes, handling large quantities of data, both streamed and batched
  • Understanding of cloud security best practices
  • Excellent technical and non-technical communication skills
  • Degree in Computer Science, Industrial Engineering or equivalent industry experience

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