Experienced Data Engineer – BI & Fabric Platform

Summary

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations become stricter, organizations struggle to answer one key question: “Is my data safe?”

At Varonis, we see the world of cybersecurity differently. Instead of chasing threats, we believe that the most practical approach is to protect data from the inside out.

We’ve building the industry’s first fully autonomous data security platform to help our customers dramatically reduce risk with minimal human effort.

At Varonis, we move fast. We’re an ultra-collaborative company with brilliant people who care deeply about the details. Together, we’re solving interesting and complex puzzles to keep the world’s data safe.

We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.

We are seeking an experienced Data Engineer with a strong background in BI and Data Engineering, excellent problem-solving skills, and the ability to work independently and learn quickly.

Role Overview

You will join a dynamic team responsible for designing and implementing end-to-end data solutions on the Microsoft Fabric platform. This role involves:

• Building and maintaining robust data processes.
• Driving adoption of new technology within the organization.
• Ensuring scalability, performance, and reliability of data solutions.
  
  

• Collaborate with leaders, stakeholders, and product managers to understand data requirements and deliver effective BI solutions.
• Design, develop and maintain robust data pipelines for efficient data ingestion, processing, and storage.
• Optimize data storage and retrieval processes for optimal performance.
• Monitor data pipelines and systems consistently to identify performance issues, ensuring timely maintenance and troubleshooting.
• Create and maintain documentation of data processes and systems.
  
  

• Experience & Skills:
• Minimum of 3 years of experience as a BI Developer or Data Engineer.
• Proficient in SQL.
• Practical experience with Spark.
• Experience with ETL/ELT tools and cloud data platforms, preferably Microsoft Fabric.
• Understanding of data warehouse and lake house architectures.
• Familiarity with source control systems (e.g., Azure DevOps or equivalent).
  
  

• Self-reliant, goal-driven, and committed to quality.
• Capable of multitasking and efficient time management.
• Excellent interpersonal and communication skills.