Phoenix Financial is a leader in Israeli asset management, insurance, and financial services. Managing over $140 billion in assets, Phoenix continues to access Israel's vibrant and innovative economic activity by providing a robust portfolio of products and services for private and corporate clients. The company creates value for its clients and distribution partners through service excellence and constant innovation.

We are looking for an experienced Data Engineer with strong analytical skills to join our team and lead the development of data infrastructures that enable large‑scale model training, development, and inference. The role requires a deep understanding of the business and system landscape, as well as the ability to drive end‑to‑end data processes in a cutting‑edge technological environment.

What you’ll do?

• Building ML data panels and data infrastructures (ML Data Panels and Pipelines)
• Working with organizational data sources - integrating with various systems and data providers, with the ability to collect relevant tables and fields efficiently and cost‑effectively.
• Strong understanding of ML requirements and production environments.
• Developing and optimizing ETL/ELT processes in a Snowflake environment.
• Working closely and on a daily basis with Data Scientists, Analysts, MLOps engineers, and Architects.

What are we looking for?

• 3+ years of experience as a Data Engineer or in a similar role.
• Expert-level SQL skills with a strong focus on performance.
• Hands-on experience in building data layers and developing ETL/ELT processes.
• Practical, proven experience working in a Snowflake environment.

Why join us?

• Make a real impact by owning end‑to‑end data processes and shaping the foundations that power our production ML models.
• Collaborate daily with top Data Scientists, MLOps engineers, and architects in a highly technical, innovative, and supportive environment.

Full-time, Sunday-Thursday, 9 hours per day, hybrid

Rishon LeZion, The 1000 complex, adjacent to Moshe Dayan Railway