Data Engineer

6 days ago

Tel Aviv, Tel Aviv, Israel Ubeya Full time ₪90,000 - ₪120,000 per year

About Ubeya
Ubeya is a leading B2B SaaS platform built for the workforce industry, making it easy to manage complex operations at scale. From major stadiums to high-profile sports and entertainment events, Ubeya powers staffing for Football, Basketball, Baseball, Racing, and more — helping top venues deliver seamless, unforgettable experiences.

Our workforce management platform enables hundreds of businesses and staffing agencies worldwide to stay resilient and adaptable in a fast-changing world — driving growth, operational excellence, and a happier, more engaged workforce.

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 or working closely with backend engineering teams.
  • Familiarity with AI orchestration tools such as LangChain.
  • Prior experience in fast-paced startup environments.

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