Data Engineer

Data Engineer

We are looking for a Data Engineer with 3–5 years of experience in a Cloud environment to join a team responsible for building, developing, and operating an enterprise Lakehouse platform based on Azure Databricks.

The role includes building end-to-end Data Pipelines, working with Delta Lake using the Bronze / Silver / Gold model, and developing smart Data Ingestion processes from core systems, APIs, and Event Streams, including CDC and Incremental Loading.

You will also work with Unity Catalog, manage permissions, Lineage, and Data Governance, and use advanced Databricks capabilities such as Workflows, Jobs, Autoloader, Delta Live Tables, and Structured Streaming.

The position involves close collaboration with Data Scientists, supporting ML Workflows, working with MLflow for experiment and model management, and building organizational standards for Data Quality, Monitoring, and Observability.

Requirements:

3–5 years of experience as a Data Engineer in a Cloud environment

Hands-on experience with Azure Databricks

Strong knowledge of Python, SQL, Spark / PySpark

Experience with Delta Lake, Unity Catalog, Databricks Workflows / Jobs

Experience building Data Pipelines in Production environments

Experience working with Data Scientists and ML Pipelines

Familiarity with MLflow for model and experiment management

Good understanding of Data Modeling in a Lakehouse environment

Experience with Git and CI/CD for data processes

Strong teamwork skills, product-oriented thinking, and a system-wide data perspective

Location: Ramat Gan, Diamond Exchange district — close to Savidor Center train station and the Light Rail.