Full Stack / Data Engineer

Full Stack / Data Engineer Apply here! About the Role We are looking for a versatile and hands-on Developer / Data Engineer who thrives in a fast-paced startup environment. You’ll work across application development, data architecture, and site reliability — solving complex problems, supporting production systems, and building the foundations for scalable internal and external data self-service through Microsoft Fabric and a Medallion architecture . This role is ideal for someone who enjoys variety — from writing performant C# code and automating infrastructure in Azure, to designing data flows, integrating AI/LLMs into solutions, and getting to the root cause of production issues when things go wrong. You’ll be part of a small, high-performing team where ownership, curiosity, and initiative matter more than job titles. Key Responsibilities End-to-End Development: Build and maintain cloud-native applications and services using C#, .NET, and Azure. Data Architecture & Fabric: Design, implement, and maintain Microsoft Fabric environments; establish Medallion (Bronze/Silver/Gold) data architecture for both internal analytics and external self-serve. Site Reliability & Support: Act as 3rd-line support , diagnosing complex production issues across systems, cloud, and data layers. Automation & Monitoring: Develop tools and processes for deployment automation, observability, and system reliability (e.g., pipelines, alerts, logging). AI & LLM Integration: Prototype and integrate LLM-driven solutions to enhance self-service, analytics, or development efficiency. Collaboration: Partner closely with engineering, product, and operations teams to deliver solutions end-to-end — from concept to production. Continuous Improvement: Contribute to technical standards, documentation, and architecture evolution. Skills & Experience Must-Have Strong background in C# / .NET development (API design, backend systems). Hands-on experience with Azure services (App Services, Functions, Storage, Service Bus, DevOps). Strong understanding of data architecture and ETL/ELT pipelines . Proven experience setting up Microsoft Fabric , Data Lakehouse , or Medallion architecture . Demonstrated ability to troubleshoot complex distributed systems and identify root causes. Exposure to SRE principles (monitoring, incident management, resilience). Familiarity with AI/LLMs (e.g., using OpenAI, Azure OpenAI, or similar APIs). Excellent problem-solving skills and ability to move from high-level strategy to hands-on delivery. Experience in a startup or small-team environment , comfortable wearing multiple hats. Nice-to-Have Experience with Power BI , Delta Lake , Synapse , or Databricks . Knowledge of Python or TypeScript for data or automation scripts. Familiarity with CI/CD pipelines , IaC (Terraform, Bicep), and observability stacks. Strong grasp of security , compliance , and data governance principles. Experience integrating AI-driven agents or co-pilots into developer workflows. What Success Looks Like Fabric and Medallion data architecture established for internal/external use. Stable, observable, and performant production systems. Rapid and confident troubleshooting of issues in live environments. Measurable improvement in data accessibility and self-service analytics. Thoughtful experimentation with AI and automation that improves team efficiency. Attributes We Value Curious, pragmatic, and proactive problem-solver. Comfortable with ambiguity and rapid change. Communicates clearly across technical and non-technical audiences. Strong sense of ownership — “if it breaks, you fix it.” Passion for continuous learning and leveraging AI tools effectively. Department Technology Remote status Fully Remote