Fabric engineer in data analytics

Join a large-scale Data & Analytics transformation program focused on modernizing legacy data platforms and migrating analytical workloads to Microsoft Fabric. The initiative includes the migration of data integration processes, data warehouses, reporting solutions, dashboards, and advanced analytics capabilities while establishing a modern cloud-based architecture, data governance framework, and scalable analytics ecosystem.

• Professional experience with Microsoft Fabric and modern Data & Analytics platforms.
• Proven experience with SAS 9.4, SAS Viya, and SAS Data Integration Studio.
• Strong expertise in PySpark, SQL, Delta Lake, and Lakehouse architectures.
• Experience building and managing Dataflows Gen2, Data Factory pipelines, Fabric Notebooks, and OneLake environments.
• Knowledge of batch and real-time ingestion patterns, including CDC, APIs, Event Hub, and streaming solutions.
• Experience with Azure DevOps, Git workflows, CI/CD, automated testing, and data quality frameworks.
• Strong understanding of data governance, metadata management, data lineage, and catalog solutions.
• Proven experience delivering enterprise-scale data migration and modernization projects.
• Excellent stakeholder management and communication skills.
• Fluent Polish and English language skills (minimum B2 level).

• A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
• Generous referral bonuses, offering up to PLN6,000 for referring specialists.
• Additional revenue sharing opportunities for initiating partnerships with new clients.
• Ongoing guidance from a dedicated Team Manager for each employee.
• Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs.
• Dedicated team-building budget for online and on-site team events.
• Opportunities to participate in charitable initiatives and local sports programs.
• A supportive and inclusive work culture with an emphasis on diversity and mutual respect.