Data Engineer
Who We Are ?
Ubeya is the workforce management platform behind some of the world’s biggest moments.
From Wembley Stadium to Wimbledon, Emirates to Johan Cruyff Arena, when tens of thousands of people show up, Ubeya makes sure everything runs smoothly behind the scenes.
We’re a fast-growing B2B2C SaaS company helping global enterprises and staffing agencies plan, manage, and pay large, dynamic workforces with ease. Our platform is used every single day to keep operations agile, teams empowered, and businesses ready to scale.
Ubeya, huh? The name is inspired by the Japanese concept of the "Great Room", a space where people come together to solve problems and tackle urgent matters. Collaboration and efficiency are at the heart of everything we do.
Our team builds technology with real-world impact, tackling complex challenges at scale, and turning ideas into solutions that make a difference for thousands of users worldwide.
Are you in ?
The Role
We are looking for an experienced Data Engineer to join our growing team. As part of our R&D efforts, you will play a pivotal role in designing and building scalable data pipelines and infrastructure, ensuring reliability and efficiency across the full data lifecycle. Your work will have a substantial impact on our product experience and the business.
What You will do:
Design and build scalable data architectures and pipelines, ensuring reliability and efficiency across the full data lifecycle.
Optimize and manage data infrastructure, enabling analytics, machine learning, and real-time applications.
Develop orchestration and monitoring frameworks to support complex workflows.
Prepare, transform, and serve data for AI/ML models, ensuring quality, accessibility, and performance.
Collaborate with engineers, analysts, and data scientists to support data-driven decision making.
Implement and enforce best practices for data governance, quality, and security.
Who you are:
5+ years of proven experience as a Data Engineer or in a similar role, with at least 2+ years delivering production systems.
Strong proficiency in Python for data processing and automation.
Deep knowledge of SQL and data modeling.
Experience with workflow orchestration tools such as Airflow or Dagster.
Experience with cloud platforms such as GCP, AWS, or Azure.
Familiarity with modern data warehouse solutions such as Snowflake, BigQuery, or Redshift.
Experience developing and optimizing ETL/ELT pipelines and transformations.
Bonus Points
Experience with real-time data streaming technologies (e.g., Kafka, Flink, Spark Streaming).
Exposure to NoSQL databases (e.g., MongoDB, Elastic, Redis).
Familiarity with MLOps and deploying machine learning models in production.
Knowledge of CI/CD and infrastructure-as-code.
Experience with Node.js or working closely with backend engineering teams.
Familiarity with AI orchestration tools such as LangChain.
Prior experience in fast-paced startup environments.
Our Secret Ingredient ?
Customer-Centric: We evolve rapidly to meet clients’ needs, ensuring they always have the latest tools for success.
Innovative & Excellent: Innovation drives us. We push boundaries to reimagine staffing and workforce management.
Empowered & Collaborative: Ubeya connects businesses, workers, and staffing firms for seamless teamwork and growth.
- Department
- R&D
- Locations
- Tel-Aviv
- Remote status
- Hybrid
- Employment type
- Full-time
- Employment level
- Professionals
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