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Principal Data Consultant with Azure

GFT


Job Location:

Warsaw - Poland

Monthly Salary: Not provided by the employer
Posted: 21 August 2026 (Yesterday)
Application Deadline: 18 November 2026
Vacancies: 1 Vacancy

Job Summary

Type of contract: B2B contract

Salary range: 200-265 PLN/H

What will you do

Join a team focused on designing and delivering modern data platforms and architectures that support advanced analytics reporting and data-driven decision-making. You will work closely with business stakeholders and engineering teams to define data strategies shape architectural solutions and ensure high standards of data quality scalability and performance across cloud-based environments.

Your tasks

  • Design and develop scalable data pipelines using Azure Data Factory and Databricks
  • Build and maintain modern data platforms on Microsoft Azure
  • Design and implement semantic data models and semantic layers for analytics and reporting
  • Develop data transformation and processing solutions using Databricks (PySpark/Spark)
  • Collaborate closely with business stakeholders to gather requirements and translate them into technical solutions
  • Lead technical discussions and provide architectural guidance to development teams
  • Design and optimize data models for analytical and reporting solutions
  • Ensure high standards of data quality governance metadata management and security
  • Automate data processing workflows and implement DataOps best practices
  • Optimize the performance and cost of Azure-based data solutions
  • Support and mentor engineers within the project team

Your skills

  • At least 6 years of commercial experience as a Data Engineer Lead Data Engineer or Data Architect
  • 4 years of hands-on experience with Databricks
  • 4 years of experience working with Microsoft Azure
  • 4 years of experience with Azure Data Factory
  • Strong experience in data analysis and data modelling
  • Experience designing and implementing semantic layers for analytical solutions
  • Strong expertise in SQL
  • Strong expertise in Python
  • Experience with Spark / PySpark
  • Experience designing modern analytical and data warehousing solutions
  • Experience working directly with business stakeholders and leading technical discussions
  • Excellent communication skills and experience in client-facing environments

Nice to have

  • Experience with BI tools such as Power BI Qlik or Apache Superset
  • Experience in consulting environments
  • Experience with Azure Synapse Analitics and Microsoft Fabric

Required Experience:

Staff IC


About Company

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We see opportunity in technology. In domains such as cloud, AI, mainframe modernisation, DLT and IoT, we blend established practice with new thinking to help our clients stay ahead.

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