Fullstack .NET Developer

Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.

• 15+ years in software engineering with at least 5+ years in technical leadership or engineering lead roles.
• Advanced knowledge of React, TypeScript, state management patterns, component architecture.
• Deep expertise in C#, API design, microservices, distributed architectures.
• Experience building scalable distributed data pipelines and integrating with analytics platforms using Python (pyspark).
• Strong hands-on experience with Power BI dashboard development, data modelling, DAX, governance, and performance tuning.
• Proven ability to design microservices, event-driven solutions, and cloud-native systems.
• Strong knowledge of automated pipelines, build and release engineering, and deployment strategies (DevOps / CI/CD).
• Azure/AWS experience, preferably Azure (App Services, Functions, Storage, Event Hub, DevOps, Databricks).
• Strong SQL, data modeling, and performance optimization experience across relational and NoSQL stores.
• Hands-on experience with Docker, Kubernetes, and container orchestration.
• Minimum 7 years of experience in a similar position.

Nice to have:

• Power BI

Key Responsibilities:

• Lead the design, development, and delivery of complex full-stack solutions using React and C# .NET Core.
• Own the architectural direction for microservices, APIs, cloud deployments, and event-driven systems.
• Provide technical leadership in Python (pyspark)-based data pipelines and Power BI reporting solutions.

Team & Delivery Management:

• Lead, mentor, and upskill a team of full stack developers, data engineers, and BI developers.

Technical Execution:

• Design and develop scalable user interfaces with React and TypeScript.
• Build and maintain backend services, APIs, and microservices using C# .NET Core.
• Oversee development of Power BI dashboards, semantic models, and enterprise‑grade data visualizations.
• Architect and implement pyspark‑based workflows for risk analytics, data quality, and pipeline automation.
• Maintain robust CI/CD pipelines across build, test, deployment, and monitoring layers.
• Contribute to cloud engineering initiatives.