A Tenth Revolution Group Company

Ref: 7022024

Data Engineer (remote)

Poland

  • 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)

7022024



Company:

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.

Role:

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.