A fast-growing fintech AI start-up company, focused on eliminating fraud and chargebacks in online commerce, is looking for an experienced Senior Data Engineer.

In this Roll, you will build large-scale, cutting-edge data solutions for fraud prevention, with the potential to grow into a technical leadership role.

The company is located in Modi'in, central Israel. Hybrid work model.

Responsibilities

• Build and maintain scalable data pipelines and ETL processes.
• Design complex data models and optimize data architecture.
• Collaborate with teams to deliver high-quality, compliant solutions.
• Troubleshoot production issues and implement best practices.
• Recommend new technologies to enhance the data infrastructure.
  
  

Requirements:

Must Haves:

• 5+ years in data engineering with strong Python & software engineering skills
• Extensive experience with cloud platforms (AWS, GCP, Azure) and cloud-native architectures
• Deep knowledge of relational (PostgreSQL) and NoSQL databases
• Experience designing and implementing data warehouses and data lakes
• Strong understanding of data modeling techniques
• Expertise in data manipulation libraries (e.g., Pandas) and big data frameworks
• Experience with data validation tools (Pydantic, Great Expectations)
• Proficiency in writing and maintaining unit and integration tests (e.g., Pytest)
  
  

Nice to Haves / Advantage:

• Apache Iceberg, Apache Spark, or modern data stack tools (DBT, DuckDB, Dagster, Airflow, Prefect)
• Backend system design: RESTful APIs, microservices, event-driven systems, RabbitMQ, Kafka
• Containerization & IaC: Docker, Kubernetes, Terraform
• Stream processing: Kafka, Flink
• Knowledge of compliance (GDPR, CCPA)
• Mentoring or leading small teams
• Excellent communication and ability to explain technical concepts clearly
• Relevant cloud or data certifications