Full Stack / Data Engineer

About the role

### **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.