A Tenth Revolution Group Company

Ref: 7022024

Data Engineer (remote)


  • PLN 20,000 to PLN 26,000 PLN
  • Engineer Role
  • Skills: Data, SQL, SSIS, API, C#, .NET, Azure, Data Factory, Databricks
  • Level: Senior

Job description

Data Engineer (remote)



International is a global leader in marketing services, empowering businesses to identify prospects, execute sales lead programs, and foster new business growth. With a robust delivery network spanning Europe, Asia, and America, we excel as the preferred partner for large-scale, global marketing initiatives anchored in sophisticated demand-generation strategies. With a track record of fifteen years of consecutive growth and profitability, we continue to set benchmarks in the industry.


We are seeking an experienced Data Engineer to join our expanding Data Services team. As a Data Engineer, you will play a pivotal role in building and maintaining data integrations, developing and managing ETL processes on the SQL Server Platform, and contributing to the strategic direction of our Data Services.

Key Requirements:
  • Minimum 5+ years of industrial experience in relevant roles.
  • Profound expertise in MS SQL Server and SSIS.
  • Advanced proficiency in utilizing APIs.
  • Strong grasp of data modeling concepts.
  • Familiarity with Azure Cloud platform.
  • Exceptional verbal and written communication skills along with organizational proficiency.

Desired Skills:
  • Proficiency in C# or .NET development.
  • Experience with Azure Data Factory and Databricks.
  • Ability to create dashboards in Power BI, Tableau, or similar BI tools.
  • Previous experience working with CRM, ERP, or other Marketing tools as Data Sources.

Roles and Responsibilities:
  • Develop and maintain Data Pipelines utilizing Microsoft and Azure Data stacks.
  • Establish integrations between database platforms and client systems.
  • Craft advanced queries to transform data in alignment with business requirements.
  • Implement monitoring mechanisms to identify errors and proactively alert the data services team.
  • Address issues and optimize existing implementations.
  • Adhere to existing coding standards and contribute to the development of team standards.