Cases

Senior data engineer

Analytics
Senior data engineer

Client Description

Our client is one of the largest online platforms in Russia and Eastern Europe, specializing in the sale of a wide range of products.
Task

The company approached us when the project began to grow rapidly. The client aimed to build a team that would set the standard for expertise, so the focus was solely on hiring senior specialists.
Key requirements

  • Experience in designing and optimizing data architecture, including the creation and maintenance of data lakes, data warehouses, and other structured/unstructured storage systems.
  • Deep knowledge and experience with technologies such as SQL, Python, Spark, Hadoop, Kafka, as well as cloud platforms (AWS, GCP, Azure).
  • At least 5 years of experience in developing and implementing data processing and storage solutions, with a focus on building ETL/ELT processes and handling large data volumes.
Process

After conducting a detailed briefing with the client company, we decided to create a search map focusing on companies with the necessary tech stack. We systematically analyzed resources with relevant specialist profiles, utilizing our own network, database, Habr Career, Telegram channels, and LinkedIn.
Result

Within 27 working days, we found the ideal candidate, who was seeking new opportunities at his previous job. The client company saw strong potential in him and offered broader responsibilities as well as significant career prospects. Despite a counteroffer from his current employer, the candidate happily accepted the client’s offer and joined their team.

Vacancy closing period: 27 days
Conversion from candidates to accepted offer: 10%
Candidates found and screened: 39