Hiring a Data Platform Engineer to join a leading company based in Tel Aviv for the growing data and technology team

What You’ll Do:

• Design, build, and maintain robust ETL/ELT pipelines that ingest data from diverse systems (ERP, eCom platforms, APIs, files, etc.)

• Develop and optimize data lakes and data warehouse environments (Azure Synapse, Snowflake, or similar)

• Collaborate with data analysts and business teams to deliver high-quality datasets and modeling support

• Implement and automate data quality checks, validation routines, and cleansing procedures

• Monitor and troubleshoot pipeline performance, data delays, or failures

• Contribute to the standardization of schema, documentation, and pipeline patterns

Requirements:

• 5+ years of experience in data engineering or data platform development

• Proficiency with SQL, PLSQL, and working with structured and semi-structured data (CSV, Parquet, JSON, APIs)

• Experience building and maintaining pipelines using ETL tools or frameworks (e.g., ADF, SSIS, dbt, Airflow)

• Familiarity with cloud data warehouse platforms such as Azure Synapse, Snowflake, Redshift, or BigQuery

• Strong communication skills and the ability to work cross-functionally

• Python or scripting knowledge - bonus

• Experience in Azure or AWS, and familiarity with streaming tools - bonus

• Background in retail or omni-channel data environments - bonus