NET CHECK, dedicated to providing high-quality engineering services to the Telecommunications industry for more than 20 years, continuously expands its global presence and has recently established a local office in Serbia. We are currently moving from an existing on-premise PostgreSQL infrastructure to a scalable Kubernetes solution on AWS. We’re looking for Data Engineers to join our team in Belgrade to support this process and establish/improve pipelines from basic ETL to product creation.

As Data Engineer, you will:

  • Have responsibility for developing, setting up, improving, and maintaining big data projects,
  • Support ongoing projects,
  • Work internally as part of our Engineering team and take an integral role in the development,
  • Be responsible for the architecture of data storage, operation, and maintenance of data warehouse, and creation of strategies for backup of the data,
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets,
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using state of the art tools and procedures.


  • Bachelor's degree in engineering, computer science, information technology another quantitative field is required,
  • Experience with a Data Engineer role,
  • Good knowledge/experience in transforming existing SQL scripts to scalable Spark jobs/services,
  • Advanced working SQL knowledge and experience working with relational databases,
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets,
  • Strong analytic skills,
  • Familiar with some of the leading public cloud solutions (AWS, Azure, Google),
  • Ability to work independently but comfortable working in a team environment,
  • Fluent English in spoken and writing, additional language is an advantage (German).


  • Hands-On experience in a real big data environment,
  • Working in a pleasant and dynamic environment and motivated teams,
  • Responsible tasks with creative design framework,
  • Flat hierarchies with short decision paths,
  • Competitive compensation and benefits,
  • Possibility to work remotely,
  • Private health insurance,
  • 25 days of vacation,
  • FitPass membership.


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