Start Date
Immediate
Expiry Date
24 Dec, 26
Salary
55000.0
Posted On
25 Sep, 26
Experience
5 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Information Technology & Services
A well-funded, fast-growing PropTech startup based in Tel Aviv is looking for a Senior Data Engineer to join its engineering team.
The company is building an advanced B2B SaaS platform and is seeking a strong data professional to play a central role in building and scaling its data infrastructure. This role includes designing robust, scalable data pipelines, integrating diverse data sources and supporting data-driven product capabilities.
You will work closely with engineering and product stakeholders, contribute to architecture and engineering best practices, conduct code reviews and mentor junior engineers.
Qualifications🔹5+ years of experience in Data Engineering, Data Warehousing or a related field🔹Strong hands-on experience with Python, PySpark and SQL🔹Proven experience designing, building and maintaining scalable data pipelines🔹Experience with orchestration tools such as Airflow, ADF, SSIS or similar🔹Solid understanding of data modeling and data warehousing concepts🔹Experience with Spark, Azure and Kubernetes - a significant advantage
Hands-on experience using AI-powered development tools, including Claude Code or similar coding assistants, in the day-to-day development workflow
Experience using AI tools for code generation, testing, debugging and/or code review
Strong communication skills and the ability to collaborate with cross-functional stakeholders
Experience in a B2B SaaS, enterprise-data or high-scale product environment — an advantage
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A well-funded, fast-growing PropTech startup based in Tel Aviv is looking for a Senior Data Engineer to join its engineering team.
The company is building an advanced B2B SaaS platform and is seeking a strong data professional to play a central role in building and scaling its data infrastructure. This role includes designing robust, scalable data pipelines, integrating diverse data sources and supporting data-driven product capabilities.
You will work closely with engineering and product stakeholders, contribute to architecture and engineering best practices, conduct code reviews and mentor junior engineers.
Qualifications🔹5+ years of experience in Data Engineering, Data Warehousing or a related field🔹Strong hands-on experience with Python, PySpark and SQL🔹Proven experience designing, building and maintaining scalable data pipelines🔹Experience with orchestration tools such as Airflow, ADF, SSIS or similar🔹Solid understanding of data modeling and data warehousing concepts🔹Experience with Spark, Azure and Kubernetes - a significant advantage
Hands-on experience using AI-powered development tools, including Claude Code or similar coding assistants, in the day-to-day development workflow
Experience using AI tools for code generation, testing, debugging and/or code review
Strong communication skills and the ability to collaborate with cross-functional stakeholders
Experience in a B2B SaaS, enterprise-data or high-scale product environment — an advantage
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