Finonex is a well-established and stable trading-platform company, powering leading financial institutions and brokerages worldwide.

Founded in 2010, with offices in Herzliya and Sofia, we deliver secure, high-performance trading solutions in regulated markets.

As we build a brand-new Data Department, we’re looking for skilled professionals to help shape our data platform and drive the next generation of Finonex’s trading technology.

What You’ll Do

• 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.

What We’re Looking For

• 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).
• Experience with Data Platform (e.g. snowflake, databricks).
• 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.

Nice to Have

• 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.

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.