Data Engineer

A high-tech fintech company that has achieved significant efficiency improvements for portfolio managers, increasing their effectiveness by hundreds of percent. Leading financial institutions worldwide have already adopted the company’s products, with major clients in Europe, Australia, and the United States.

The company's solution is a Cloud- and AI-based platform that meets customer requirements optimally within seconds, eliminating lengthy, costly, and complex processes. The system operates globally, enabling clients to purchase any bond according to their preferences, with precise and updated information aligned with market availability.

Located in central Israel, within walking distance from a train station, the company has a team of 50 employees and offers a hybrid work model with two mandatory work-from-home days.

Position Overview:

• Analyze various sources of data to extract meaningful insights.
• Design, develop, and maintain scalable and efficient data pipelines to support business needs.
• Implement and optimize complex ETL processes to ingest data from multiple sources, including vendor market data, client market data, and external/internal APIs.
• Work closely with data scientists and product teams to understand data requirements and deliver impactful data solutions.
• Ensure data accuracy and quality through validation, testing, and best practices.

Requirements-

• Bachelor's degree in computer science, Information Systems, or a related field (or equivalent experience).
• 2 years of experience in Python for data process development.
• 2 years of experience working with databases, such as MySQL.
• 2 years of experience in ETL development and querying data warehouses.
• Strong team player with excellent communication skills.
• Preferred Qualifications:
• Experience with cloud environments, preferably AWS.
• Familiarity with analytical databases like ClickHouse and/or Snowflake.
• Experience with pipeline tools such as River, Dagger, Airbyte, or Airflow.
• Technical Skills: Familiarity with Linux environments