Senior Data Engineer with MS Fabric

We are looking for a skilled Senior Data Engineer to join our team in a dynamic and client-facing role. You will work on multiple projects simultaneously, leading one of them while designing and optimizing modern data solutions using Microsoft Fabric, Azure Data Factory, and Azure Synapse. Your expertise will contribute to building and supporting enterprise data pipelines and transformation frameworks. This position offers the flexibility of remote work, allowing you to collaborate with various stakeholders and delivery teams effectively. If you are passionate about leveraging data technologies to drive impactful solutions, this opportunity may be the right fit for you.
Requirements:
Minimum 5 years of experience in data engineering Strong experience with Microsoft Fabric, Azure Data Factory, and Azure Synapse Proficiency in SQL and Python development Experience building and supporting enterprise data pipelines and transformation frameworks Understanding of data warehousing, dimensional modeling, and lakehouse architectures Familiarity with Azure DevOps or GitHub-based CI/CD processes Good understanding of Azure security, governance, and networking fundamentals Strong communication skills with the ability to work directly with customer stakeholders and delivery teams Fluent Polish and English Residency in Poland Nice-to-have requirements Experience working across multiple concurrent customer engagements
Must have: Microsoft Fabric, Azure Data Factory, Azure Synapse, SQL, Python
Daily tasks: - Designing, building, and optimizing modern data solutions using Microsoft Fabric, Azure Synapse, and Azure Data Factory
– Developing and maintaining data pipelines, notebooks, dataflows, and transformation processes
– Supporting the development of scalable lakehouse, warehousing, and analytics solutions
– Collaborating with Data Architects, Senior Data Engineers, and customer engineering teams
– Implementing engineering best practices, including source control, CI/CD, and automated deployments
– Applying secure engineering approaches and supporting data governance, GDPR, and data classification requirements
– Producing technical documentation and supporting the ongoing development and optimization of customer data platforms
– Participating in Agile delivery activities and contributing to technical standards within the Data & AI practice