Principal Data Consultant with Azure

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