LineTen
Full Stack / Data Engineer
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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.
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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.
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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.
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