© Bigabid

Careers at Bigabid

Data Engineer

#li-hybrid Bigabid focuses on solving the key challenge of growth for mobile apps by building Machine Learning and Big Data-driven technology that can both accurately predict what apps a user will like and connect them in a compelling way. 

Our technology operates at scale well beyond many of the largest Internet companies, processing over 50 TB of raw data per day, we handle over 4 million requests per second, interacting with over a billion unique users a week. 

Our innovative platform is cutting-edge with a strong product-market fit. As a result, we're seeing remarkable growth and close to zero customer churn. To support our hyper-growth and continue propelling the growth of some of the biggest names in the mobile industry, we offer a wide range of opportunities for different skill levels and experiences.

We are looking for a Data Engineer with an inclination to machine learning to create advanced autonomous systems and generate feature maps to fit and train new models and create an observability roadmap in order to track performance of models which run more than 10,000 predictions per second. The person is passionate about building high-quality and high-scale data processes. 

As a Data Engineer at Bigabid, you will be handling Data Science projects from the preparation stage until production and beyond. You’ll be coordinating with stakeholders and play a major role in driving the business by promoting the models performance and lifecycle processes, which are the core of our product.


  • Delivering end-to-end ML products, including model infrastructure development and autonomous end-to-end infrastructure design.
  • Ensuring proper ML product management, including monitoring model performance, analyzing user feedback, and making necessary adjustments.
  • Expertise in software development, data engineering, and project management.


  • 4+ years experience as a software engineer
  • 2+ year programming in Python
  • Experience working with PySpark
  • Experience working with orchestration workflow frameworks (Airflow)
  • Experience working with data science teams - an advantage
  • High level programming skills in SQL - an advantage
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