Data Engineer (Azure/Microsoft Data Platform)
We’re hiring! Join ItexUS today!
We are looking for a Senior Data Engineer to join our team and contribute to the development and evolution of modern data platforms and data warehouse solutions with a strong focus on the Microsoft Data Platform (Azure).
In this role, you will work on building scalable data infrastructures, designing and optimizing data pipelines, and integrating multiple data sources to support analytics and AI-driven systems. You will play a key role in shaping end-to-end data platform architecture using Azure-native services such as Microsoft Fabric, Azure Data Factory, and Azure Synapse Analytics.
About projects:
You will work on several data-intensive projects for large European companies across industries such as finance, energy, industrial, and SaaS.
One of the key directions involves building modern Data Lake / Lakehouse architectures on top of the Microsoft Azure ecosystem. These platforms are designed to support advanced analytics, BI, and machine learning use cases by ensuring scalable, reliable, and high-quality data processing.
Another stream of projects focuses on end-to-end data platform development, including data ingestion, transformation, storage, and consumption layers. You will contribute to integrating multiple data sources, designing robust pipelines, and enabling data-driven decision-making for business and AI applications.
Location: Poland preferred, open to candidates across Europe
Responsibilities:
- Design, develop, and maintain scalable data pipelines (ETL / ELT)
- Integrate data from multiple internal and external sources
- Design and evolve data platform architecture on Azure
- Build and optimize data warehouse / lakehouse solutions
- Work with Microsoft Data Platform (Fabric, Synapse, ADF)
- Optimize performance and reliability of data processing systems
- Handle large-scale datasets (Big Data)
- Develop and maintain data models for analytical systems
- Support analytics and machine learning teams with reliable data infrastructure
- Participate in architecture discussions and technical decision-making
Requirements:
- 5+ years of experience in Data Engineering
- Strong proficiency in Python for data processing
- Excellent SQL skills
- Hands-on experience with ETL / ELT pipelines
- Experience working with Big Data technologies (Spark / PySpark)
- Experience with cloud platforms (Azure is a must-have)
- Strong hands-on experience with Microsoft Data Platform: Azure Data Factory (ADF), Azure Synapse Analytics, Microsoft Fabric
- Understanding of Data Lake / Data Warehouse / Lakehouse architectures
- Experience working with Azure-native services in production
- Familiarity with Git and CI/CD practices
- Experience working in Agile / Scrum teams
- Strong analytical thinking and ability to work with complex data systems
- English level B2+, (confident communication with technical and non-technical teams).
Nice to have:
- Experience with Databricks
- Experience with Snowflake
- Knowledge of dbt
- Experience with Airflow
- Understanding of Data Vault modeling
- Experience building streaming pipelines
- Familiarity with Unity Catalog
- Experience with Power BI as part of a data ecosystem
- Experience working with SAP data sources
- Experience building end-to-end data platforms
We would be delighted to share more information about our company during our meeting!
