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  • Published: April 25, 2022
Job Type
Level of education
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years


Come [legally] hack with us the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every second.

Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP-volumes of traffic, sub-second predictions and TBs of live, real-world data. Use cutting-edge analysis, ML and engineering or just plain hacker-like thinking to out-perform the market.

Arpeely is a Data-Science startup, leveraging, data analysis, ML, engineering, multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 350k requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges. Arpeely is a Google AdX vendor and serves clients spanning from startups to Fortune-50 companies.

As our Senior Data Engineer, you will become the owner and gatekeeper of all data and data flows within the company. Bring data ingenuity and technological excellence while gaining deep business understanding.

This is an amazing opportunity to join a small and multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.

If you are experienced and still hungry to learn and impact - we’d love to have you on our team!

What You’ll Do

- Own and develop Arpeely DWH (Petabytes of data!)
- Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring
- Work on a high scale, real-time, real-world business-critical data stores and data endpoints
- Design and implement efficient data solutions and architecture to support company growth
- Design data profiling to identify anomalies and maintain data integrity
- Identify opportunities to improve processes and strategies with technology solutions
- Work in a results-driven, high paced, rewarding environment


- Passionate for data
- 4+ years experience as a Data Engineer or a similar role
- Good working knowledge of Google Cloud Platform (GCP)
- Experience with high volume ETL/ELTs tools and methodologies - both batch and real-time processing
- Hands-on experience in writing complex queries and optimizing them for performance
- Able to understand complex data and data flows
- Have a strong analytical mind with proven problem-solving abilities
- Strong experience in SQL and Python
- Ability to manage multiple tasks and drive them to completion
- Independent and proactive
- Fun to work with & a team player 🙂

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