Senior Devops Data Engineer

Israel - Ramat-Gan · Full-time · Mid

About The Position

We are looking for an experienced Data DevOps Engineer to join the R&D team. 

As a data DevOps engineer, you will join our DevOps group, working alongside data engineers, backend engineers, data analysts, and BI team.

In this crucial role, you will take part in building our next-generation data platform that will advance Elementor as a data-driven company. You will collaborate with different departments to expose them to data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.

You will work with cutting-edge data technologies and address the business needs of other department members based on an in-depth understanding of our business.

Work Environment

What do we do?

Elementor is the leading website building platform for WordPress professionals.

Our vision is to empower web creators - developers, designers, and marketers, with the ability to create their future one pixel at a time. We provide our users with everything they need to succeed.

A new website is created every 10 seconds using Elementor!

Since we launched in Israel in 2016, we have expanded to more than 180 countries, with more than 13M websites powered by Elementor. More than 8.4% of all websites around the world are built using Elementor!

How do we do it?

At Elementor, we’re building the future of web creation.

We believe in empowering our employees and our users, enabling people to grow.

Creativity, professionalism, curiosity, motivation, and friendship are the driving force behind our journey, and we take great pride in the people of Elementor who lead the company’s constant scaling


  • Maintain & deploy workflows / pipelines for data collection
  • Scripting build pipelines for cloud operation tasks
  • Monitoring and supporting the data warehouse
  • Architecture planning implementing of future features and solutions 
  • Offer and design architecture for data collections strategies
  • Support Data engineers and suggest innovative design for new workflows


  • Knowledge and experience with cloud vendors such as GCP/AWS/Azure- Must
  • Experience in Docker and Kubernetes- Must
  • Experience with Kafka - Must
  • Experience with IaC tools such as Terraform, Pulumi - Must
  • Coding/Scripting skills - Python, Bash - Must
  • Writing with CI/CD pipelines in Jenkins/Travis CI/Circle CI/GitHub Actions- Must
  • Experience with managed Data Warehouses - Redshift / Snowflake - advantage
  • System/IT experience - advantage
  • Architecture planning abilities- Advantage
  • Experience with Data technologies such as: DBT, airflow, Spark - Advantage

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