Data Engineer (Data Office)

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Data Office department is responsible for the data associated with products, AI tools, marketing, financials, sales, and all other domains at JetBrains. Our department provides up-to-date, transparent, and reliable data, as well as data services.

As part of our exciting growth strategy, we are seeking experienced, detail-focused, and self-motivated data engineers to develop, maintain, and enhance data workloads for our internal customers.

• Design, implement, and maintain data sources and transformation pipelines that fit the purposes of a diverse set of data consumers.
• Maintain and develop the existing data collection and processing pipelines.
• Implement test and monitoring automation to ensure reliability, quality, and consistency of data.
• Develop and optimize ETL pipelines and SQL queries.
• Contribute to the company’s data processing culture.
• Continuously engage with other colleagues at JetBrains, including developers, data partners, BI engineers, and data analysts, to collect and clarify business requirements.
• Participate in both business-driven and technical projects.

• Have at least 5 years’ experience with data processing technologies as a data engineer or in an equivalent role.
• Have experience working with data modeling to meet a diverse set of requirements.
• Have implemented and optimized complex data processing pipelines.
• Can write high-quality code in SQL and with at least one programming language, preferably Python or Scala.
• Have improved the data quality of sources via data testing and monitoring.
• Have worked with an orchestration tool.
• Show great attention to detail in your work and can identify small but significant changes in data.
• Can independently take over a task, analyze the problem, and deliver solutions within agreed deadlines.
• Have a proactive mindset.
• Value sharing knowledge and cross-team collaboration.

• Previously worked with cloud service platforms.
• Previously developed a multi-level data quality assurance system.
• DevOps experience.
• Worked with big data processing technologies, such as Spark, MapReduce, and Hadoop.
• Experience selecting technologies to address specific business needs.
• Previously developed infrastructure for collecting raw data from various sources.
• Experience with BI tools, such as Tableau, Power BI, and Metabase.

#LI-DNI