Careers at Bigabid

Director of Data Engineer

Bigabid is an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platforms powered by machine learning are the outcome of that devotion.

We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies. 

Our ever-evolving, state-of-the-art machine learning technology analyzes tens of TB of raw data per day to produce millions of ad recommendations in real-time. This data is used to power our Machine Learning predictions, business-critical metrics, and analytics used to power our decision-making. 

The data engineering director will own the heart of our product - our data. You will scale a group of talented data engineers, recruiting talented leaders and developers, as well as shaping your group’s structure and culture.  

You will lead all engineering aspects of data processing and management to support our product at production, and scaling for even more data while improving discoverability, manageability, and accessibility.

Responsibilities:

  • Shape your group’s culture, and help your team leaders thrive and grow as managers and professionals.
  • Manage and recruit team leaders and grow the group to about 16 employees throughout 2022. 
  • Lead a group that is in charge of developing high-scale data systems that are at the heart of Bigabid’s platform.
  • Work closely with Data-Science, BI, and RTB groups to structure and streamline development and delivery flow.
  • Lead the evolution of our data platform, processing above 40 TB of data on a daily basis, and managing Peta-byte scale data.
  • Shape and lead the future of our data architecture and infrastructure.
  • Deliver scalable, highly available, and cost-effective systems.




Requirements:

  • At least 2 years of experience as a director or senior manager (managing other managers). 
  • Experience in high scale, high throughput systems/pipelines - working on at least TB scale data.
  • Deep understanding of modern system architecture, cloud, and data architecture.
  • Proficiency with modern development languages and tools - our stack is based on python, Spark/Flink, airflow, presto, and upsolver to name a few.
  • A true team player with strong leadership and mentoring skills. 
  • Being able to grasp the specific needs of your group and accordingly shape the processes, methodologies, and standards that will ever optimize quality and velocity.
  • Deep understanding in devops and AWS - a big advantage
  • Experience working with Data-Science/ML teams and with MLops tools - an advantage.
  • Relevant Bachelor degree – preferably CS, Engineering/Information Systems.
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