Senior Data Engineer

At Finonex, we are the driving force behind a leading online trading platform, built to empower financial institutions and brokerages around the globe. Founded in 2010, we operate from dual hubs in Herzliya, Israel, and Sofia, Bulgaria, delivering cutting-edge, secure trading solutions to users in regulated environments.

Our mission is to innovate and advance financial technology that transforms the trading experience—providing powerful tools, educational resources, 24/5 support, and seamless global market access.

We’re united by a collaborative, Agile culture that values creative and productive teams, transparent communication, and shared success. As a company that thrives on innovation and curiosity, we actively explore emerging technologies and industry trends—including AI and generative systems—through internal sessions, tech talks, and a culture of experimentation.

Now, as we establish a brand-new Data Department, we are looking for highly skilled professionals who want to help build our data platform and shape the future of Fin-on-ex’s data strategy from the ground up.

Why Join Fin-on-ex?

·      Be a founding member of a high-impact Data team.

·      Help define the architecture and strategy of a modern data platform.

·      Work in an autonomous, fast-moving environment where your opinion matters.

·      Enjoy a flexible hybrid work model, strong support for personal growth, and a culture of innovation.

·      Design, implement, and maintain scalable data pipelines using Python and orchestration tools like Apache Airflow.

·      Take a leading role in evaluating and selecting foundational components of our data stack (e.g., Databricks vs. Snowflake).

·      Architect and optimize data workflows across AWS and on-premise environments.

·      Work with modern file formats (Iceberg, Parquet, ORC) and understand their trade-offs for performance, cost, and scalability.

·      Collaborate with analysts, engineers, and stakeholders to provide accessible and reliable datasets.

·      Help assess and implement frameworks such as DBT for data transformation and modeling.

·      Develop best practices and internal standards for data engineering, monitoring, and testing.

·      Contribute to the long-term vision and roadmap of Fin-on-ex’s data infrastructure.

·      5+ years of hands-on experience as a Data Engineer or similar role.

·      Strong proficiency in Python for data processing and workflow automation.

·      Experience with Apache Airflow (managed or self-hosted).

·      Solid understanding of data lake and table formats like Iceberg, Parquet, Delta Lake, and their use cases.

·      Familiarity with big data processing (e.g., Apache Spark) and query engines (e.g., Trino).

·      Experience working in AWS environments, and comfort with hybrid cloud/on-premise infrastructure.

·      Proven ability to work independently, drive decisions, and evaluate technologies with minimal oversight.

·      Experience with DBT or other data modeling and transformation tools.

·      Prior involvement in building or migrating data platforms from scratch.

·      Exposure to Superset or other modern BI tools.

·      Knowledge of data governance, cataloging, or lineage tracking solutions.

·      Interest in shaping team culture, mentoring, and knowledge sharing.