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Day 23
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer
Tel Aviv, Israel
Live, first seen by us 23 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, build, and own production-grade data pipelines in Python and SQL
Build stateless, idempotent pipelines that survive retries and failures
Implement data transformations, validation, and quality checks
Optimize pipelines for performance, reliability and cost
Orchestrate pipelines with Airflow or an equivalent framework
From the employer’s posting
Design, build, and own production-grade data pipelines using Python and SQL.
Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions.
Implement data transformations, validation, and data quality checks.
Optimize pipelines for performance, reliability, and cost efficiency.
Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent).
What you’ll bring
All qualificationsCore experience
- 8+ years as a Data Engineer, focused on building data pipelines
- 6+ years hands-on with Python and SQL
- 3+ years running workloads on Kubernetes
- Strong understanding of stateless system design and idempotent processing
- Experience with workflow orchestration frameworks
Qualification wording
8+ years of experience as a Data Engineer, primarily focused on building data pipelines.
6+ years of hands-on experience with Python and SQL.
3+ years of experience running workloads on Kubernetes.
Strong understanding of stateless system design and idempotent data processing.
Experience with workflow orchestration frameworks.
About Nebius
Nebius is leading a new era in cloud infrastructure for the global AI economy.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 202623 days ago
- Recorded sightings
- 78
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Nebius is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Its jobs tend to stay up a long time
- 12% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Docker
- Kubernetes
- Spark
- Airflow
Where the posting names them
Core Responsibilities (Primary Focus) - Design, build, and own production-grade data pipelines using Python and SQL. - Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions.
- 8+ years of experience as a Data Engineer, primarily focused on building data pipelines. - 6+ years of hands-on experience with Python and SQL. - 3+ years of experience running workloads on Kubernetes.
- Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent). - Package and run data workloads using Docker and deploy them on Kubernetes. - Use autoscaling and Spot / Preemptible compute for efficient pipeline execution.
Nebius is looking for a Senior Data Engineer who in addition to building and owning data pipelines will also drive the design and technical leadership within the data engineering team. This is a hands-on data engineering role, focused on designing, implementing, and maintaining reliable data flows for analytics and machine learning. Infrastructure, cloud, and Kubernetes are used only as tools to run pipelines reliably and cost-efficiently — this is not an SRE or platform engineering role. You’re welcome to work in our offices in Tel Aviv, Israel.
- 6+ years of hands-on experience with Python and SQL. - 3+ years of experience running workloads on Kubernetes. - Strong understanding of stateless system design and idempotent data processing.
- Experience contributing to or working extensively with open-source software. - Experience building data pipelines using Apache Spark or similar distributed processing frameworks. - Experience building data pipelines that support machine learning workflows.
Supporting Infrastructure (Secondary Focus) - Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent). - Package and run data workloads using Docker and deploy them on Kubernetes.
Your next step
Complete your application on careers.nebius.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Nebius posted this job before?
Yes. We’ve followed one other Senior Data Engineer job there since April 2026. It is still up.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a Senior Data Engineer who in addition to building and owning data pipelines will also drive the design and technical leadership within the data engineering team.
This is a hands-on data engineering role, focused on designing, implementing, and maintaining reliable data flows for analytics and machine learning. Infrastructure, cloud, and Kubernetes are used only as tools to run pipelines reliably and cost-efficiently — this is not an SRE or platform engineering role.
You’re welcome to work in our offices in Tel Aviv, Israel.
Your responsibilities will include:
Core Responsibilities (Primary Focus)
- Design, build, and own production-grade data pipelines using Python and SQL.
- Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions.
- Implement data transformations, validation, and data quality checks.
- Optimize pipelines for performance, reliability, and cost efficiency.
- Collaborate closely with Analytics, Data Science, and ML teams to deliver trusted datasets.
Supporting Infrastructure (Secondary Focus)
- Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent).
- Package and run data workloads using Docker and deploy them on Kubernetes.
- Use autoscaling and Spot / Preemptible compute for efficient pipeline execution.
- Build CI/CD automation for data pipelines.
- Use Infrastructure as Code only to provision and manage the infrastructure required to run pipelines.
We expect you to have:
- 8+ years of experience as a Data Engineer, primarily focused on building data pipelines.
- 6+ years of hands-on experience with Python and SQL.
- 3+ years of experience running workloads on Kubernetes.
- Strong understanding of stateless system design and idempotent data processing.
- Experience building and operating data pipelines in cloud environments.
- Experience with workflow orchestration frameworks.
- Strong Linux fundamentals and production debugging skills.
- Working knowledge of spoken and written English
It will be an added bonus if you have:
- Experience contributing to or working extensively with open-source software.
- Experience building data pipelines using Apache Spark or similar distributed processing frameworks.
- Experience building data pipelines that support machine learning workflows.
- Familiarity with cost-optimized data processing (e.g., Spot / Preemptible compute).
- Experience with relational and non-relational data stores.
- Experience working with large-scale or high-reliability data systems.
- Experience collaborating with strong Data Science and ML teams.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tel Aviv, Israel
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.