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