Full Stack Data Engineer: Azure, Fabric & Medallion

LineTen; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

LineTen seeks a versatile Developer / Data Engineer to build cloud-native apps and data services in a fast-paced startup setting. You’ll own implementation across C# code, Azure infrastructure, and data flows, while designing Fabric-based architectures for internal analytics and external self-service.

You’ll lead efforts to integrate AI/LLMs, automate deployments, and ensure reliable, observable production systems. A startup mindset and hands-on delivery approach are essential.

Qualifications

• Strong background in C# / .NET development and API design.

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 Fabric environments; establish Medallion data architecture for analytics and self-serve.
• Site Reliability & Support: Act as 3rd-line support, diagnosing production issues across systems, cloud, and data layers.
• Automation & Monitoring: Develop tools for deployment automation, observability, and reliability.
• AI & LLM Integration: Prototype and integrate AI/LLM-driven solutions to enhance self-service and analytics.
• Collaboration: Partner with engineering, product, and operations to deliver end-to-end solutions.
• Continuous Improvement: Contribute to technical standards and architecture evolution.

Skills

C# / .NET

Azure

Data architecture

ETL/ELT pipelines

Microsoft Fabric

Medallion architecture

SRE principles

AI / LLMs

Startup / small-team experience

OpenAI / Azure OpenAI APIs

Tools

Power BI

Delta Lake

Synapse

Databricks

Terraform

Bicep

CI/CD tooling

Job description

LineTen seeks a versatile Developer / Data Engineer to build cloud-native apps and data services in a fast-paced startup setting. You’ll own implementation across C# code, Azure infrastructure, and data flows, while designing Fabric-based architectures for internal analytics and external self-service.

You’ll lead efforts to integrate AI/LLMs, automate deployments, and ensure reliable, observable production systems. A startup mindset and hands-on delivery approach are essential.