Data Engineer

A successful startup in the FinTech-travel sector, developing a platform based on big data, machine learning (AI), and automation for travel companies, agencies, accommodation providers, and more. The company is profitable and serves clients worldwide.

The company is based in Tel Aviv near the light rail, operating a hybrid model that includes two work-from-home days.

Responsibilities:

• Design and build scalable pipelines using Azure, Databricks, and PySpark
• Own our Data Lakehouse and warehouse integration
• Define and implement data engineering best practices
• Collaborate across teams to support product and analytics needs
• Mentor a junior engineer and grow the team

Requirements:

• B.Sc. in Computer Science, Engineering, or a related field
• 6+ years of hands-on experience in Data Engineering, with ownership of production pipelines
• Strong in Python, SQL, and big data frameworks (e.g., PySpark, Delta Lake)
• Deep experience with cloud platforms, ideally Azure (Databricks, Data Factory, Blob Storage)
• Proven track record building batch and streaming pipelines in fast-moving environments
• Strong foundation in data modeling, ETL/ELT, and system performance tuning
• Comfortable operating in high-ambiguity environments with shifting priorities and business needs
• Self-starter who thrives in small teams with a strong sense of ownership
• Excellent collaboration and communication skills
• B.Sc. in Computer Science, Engineering, or a related field