Description

Are you ready to power the future?

At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 4,000 employees, offices in 34 countries, and millions of installations worldwide.

Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond.

With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work.

We’re looking for a Senior Data Engineer to design and maintain scalable data pipelines and infrastructure. You’ll work with Airflow, Databricks, Spark, Python, and SQL, supporting analytics and business intelligence initiatives in an Agile environment.

Responsibilities

• Develop and optimize ETL/ELT pipelines using Airflow and Databricks (Spark jobs).
• Build reliable data models and ensure high data quality and performance.
• Write efficient Python scripts and complex SQL queries.
• Collaborate with cross-functional teams using Jira and Confluence.

• Monitor, troubleshoot, and improve data workflow

  Requirements

• 5+ years of experience in data engineering.
• Strong expertise in Airflow, Databricks, Spark, Python, and SQL.
• Solid understanding of data warehousing and Agile development.
• Team player with strong communication and problem-solving skills.