Data Engineer


eToro is the world’s leading social trading network, providing millions of users from around the world a one-stop-shop solution for their trading and investing needs. Since 2007, eToro has positioned itself as a Fintech leader, pioneering revolutionary practices such as social trading and machine-learning-powered investment products.

eToro’s award-winning trading and investing platform is at the forefront of Fintech technology. Our Research and Development department develops cutting-edge technologies, focusing on field-relevant areas, such as blockchain and artificial intelligence. We promote an organizational culture which is both professional and fun.

We are looking for an engineer with a passion for data and the talent to code and develop cutting edge data and analytical solutions from the ground up. The successful candidate demonstrates a strong capacity to independently plan and execute complex data provisioning projects in a matrixed organization.

This is a full time position, Sunday- Thursday with ability to work Friday shifts once a month.

What you’ll be doing

  • Overseeing and performance tuning of old SSIS packages
  • Research and implementation of new software, solutions proposal
  • Tableau reports performance tuning
  • Integration of 3rd part data into DWH
  • Transfer current data structures to cloud/big data
  • Working with spark and ETL flows
  • Clean data via stream process

Want to join? If you have

  • 3+ Years SQL  performance tuning, stored procedures, functions   - Must
  • Deep understanding and experience with data lakes & data warehouses in the cloud ( Cloud storage, BigQuery) - A Must
  • Extensive experience in big data architectures at scale in the cloud (Azure| GCP) - A Must
  • 3+ Years SSIS
  • Deep knowledge of DWH models - Must
  • Large production system experience - Big Advantage
  • Experience with big data/large scale software engineering – Spark/Py-Spark
  • ETL with Stream technology - Big Advantage

It will also be nice if you have

  • experience as applicative DBA - big advantage  
  • Azure Data Factory - big advantage  
  • Big Data( Google/Azure) - big advantage    
  • Python( API Calls, JSON, DB Integration)  - big advantage    
  • Tableau/Cognos/BO - Advantage
  • Azure DWH - Advantage
  • Ability to work under pressure
  • Creative approach to solving problems
  • Must be technical, fast learner, team player
Israel office