Data Engineer (BigBrain)
Information Technology & Data
We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.
With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.
We are seeking an experienced Data Engineer with high technical skills and a passion for data who can design, implement & scale our next generation of data solutions and ecosystem. This is an opportunity to join us in a very exciting phase of design & build BigBrain 2.0 Data systems. You’ll join the BigBrain group based in our headquarters, Tel Aviv, Israel.
The BigBrain group is taking big data into its own hands! We manage the data backbone of our company that allows monday.com to thrive off of A/B testing, analyzing tools, dashboards, and much more! It is different from systems that can be defined as external bi systems.
BigBrain is the engine of the organization from which we make decisions based on its insights, change strategies and set strategies based on the data and insight.
See some more on BigBrain here:
https://www.youtube.com/watch?v=x-m0ag0cty0
https://engineering.monday.com/meet-the-geniuses-behind-our-bi-tool-bigbrain/
About The Role
We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.
With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.
We are seeking an experienced Data Engineer with high technical skills and a passion for data who can design, implement & scale our next generation of data solutions and ecosystem. This is an opportunity to join us in a very exciting phase of design & build BigBrain 2.0 Data systems. You’ll join the BigBrain group based in our headquarters, Tel Aviv, Israel.
The BigBrain group is taking big data into its own hands! We manage the data backbone of our company that allows monday.com to thrive off of A/B testing, analyzing tools, dashboards, and much more! It is different from systems that can be defined as external bi systems.
BigBrain is the engine of the organization from which we make decisions based on its insights, change strategies and set strategies based on the data and insight.
See some more on BigBrain here:
https://www.youtube.com/watch?v=x-m0ag0cty0
https://engineering.monday.com/meet-the-geniuses-behind-our-bi-tool-bigbrain/
As a Data Engineer in the BigBrain Core team, you will be part of a growing group that’s building the best-in-class data ecosystem to support monday.com’s hyper-scale and most critical data needs.
You will design, implement, and support robust, scalable data solutions, and take ownership of core components such as the Data Lake, batch and streaming infrastructure, high-scale data pipelines, and distributed systems.
In addition, you will play a key role in empowering our infrastructure with AI capabilities – from building AI-assisted data pipelines and smart monitoring tools, to supporting AI-driven features and services across the organization.
Your Experience & Skills
● 3+ years of experience as a data engineer / big data developer.
● 3+ years of experience with a programming language (python, java, scala, nodejs).
● Experience with designing data pipelines & data lakes.
● Experience with big data tools: Hadoop, Spark, Kafka, etc.
● Experience with SQL and database architecture.
● Experience with workflows and data processing pipelines like AirFlow.
● Experience working in a cloud environment, preferably AWS.
● Experience with Big Data architectures.
● Building and designing large-scale applications.
#LI-DNI
We believe in equal opportunity.
monday.com is an equal opportunity employer and bans discrimination and harassment of any kind. monday.com is committed to the standard of equal employment opportunity for all employees and to creating and maintaining a workplace free of discrimination and harassment.
All qualified applicants will be considered for employment regardless of any personal characteristic. We encourage candidates from all backgrounds to apply, regardless of their race, religion, national origin, ethnicity, sexual orientation, gender identity, age, marital status, family or parental status, physical or mental disability or any other status protected by the laws or regulations in the locations where monday.com operates.
monday.com is committed to working with and providing access and reasonable accommodation to applicants with any disabilities. If you think you may require accommodation for any part of the recruitment process, please send a request to accommodations@monday.com.
All requests for accommodation are treated confidentially , as practical and permitted by law.
monday.com is an equal opportunity employer and bans discrimination and harassment of any kind. monday.com is committed to the standard of equal employment opportunity for all employees and to creating and maintaining a workplace free of discrimination and harassment.
All qualified applicants will be considered for employment regardless of any personal characteristic. We encourage candidates from all backgrounds to apply, regardless of their race, religion, national origin, ethnicity, sexual orientation, gender identity, age, marital status, family or parental status, physical or mental disability or any other status protected by the laws or regulations in the locations where monday.com operates.
monday.com is committed to working with and providing access and reasonable accommodation to applicants with any disabilities. If you think you may require accommodation for any part of the recruitment process, please send a request to accommodations@monday.com.
All requests for accommodation are treated confidentially , as practical and permitted by law.
Meet the Information Technology & Data team
The Information Systems and Data Organization aims to empower Monday's employees to perform at their best in their core professions.
Our team focuses on three main things - Support business processes effectively, support our information systems, ensure our technology infrastructure is optimized, and provide insights into our data in order to make informed decisions.
Our team focuses on three main things - Support business processes effectively, support our information systems, ensure our technology infrastructure is optimized, and provide insights into our data in order to make informed decisions.