22 ΡΠ°ΡΠ° Π½Π°Π·Π°Π΄
Senior Backend Engineer (Data Platform)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Senior Backend Engineer (Data Platform) (Python/data infrastructure): Building core data-platform systems for collecting, processing, and serving complex enterprise data with an accent on data pipelines, distributed processing, and analytical storage. Focus on designing scalable architectures, modeling transactional and analytical data, and improving reliability and data correctness across cloud environments.
Location: Tel Aviv, hybrid
Company
is building an AI-native enterprise GRC platform that continuously collects and structures data from organizational systems to support risk management, compliance, and audits.
What you will do
- Design and build core data-platform systems covering ingestion, processing, and serving.
- Own data-pipeline architecture across multiple systems and environments.
- Build backend services integrating operational and analytical data stores.
- Make decisions on data modeling, storage formats, and system boundaries.
- Improve system reliability, performance, scalability, and data correctness.
- Collaborate with product and R&D teams, participate in design discussions, and mentor engineers.
Requirements
- 6+ years of experience building backend systems in production.
- Strong hands-on experience with Python or a similar language.
- Experience designing end-to-end data pipelines, including ingestion, processing, and serving.
- Strong understanding of data modeling and transactional versus analytical systems.
- Experience with lakehouse and data warehouse technologies, including Iceberg, Athena, Delta Lake, Snowflake, BigQuery, or Redshift.
- Experience with Postgres, a NoSQL system, distributed processing tools, workflow orchestration, cloud environments, and system design at scale.
Nice to have
- Experience with multi-cloud or cross-environment data systems.
- Familiarity with Parquet, partitioning, and schema evolution.
- Experience building internal data platforms or developer-facing infrastructure.
- Hands-on experience with AI tools such as Copilot or Cursor.
Culture & Benefits
- Ownership and thoughtful decision-making are valued.
- The role involves working on complex, data-heavy systems and influencing architecture and product direction.
- Collaboration with product and R&D teams is part of the role.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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