At a Glance
- Tasks: Develop cloud-native applications and design data architecture using C# and Azure.
- Company: Fast-paced startup with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Embrace a culture of curiosity and ownership while working on cutting-edge technology.
- Why this job: Join a dynamic team and tackle exciting challenges in software and data engineering.
- Qualifications: Strong C# and Azure experience, with a knack for problem-solving in complex systems.
The predicted salary is between 63000 - 77000 £ per year.
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.
Full Stack / Data Engineer · London · employer: LineTen
At LineTen, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects and drive meaningful change. As a Full Stack Data Engineer, you'll benefit from a collaborative environment that encourages continuous learning and growth, with ample opportunities to work on cutting-edge technologies like Azure and AI integration. Located in a vibrant startup ecosystem, we offer the unique advantage of being at the forefront of technological advancements while enjoying the flexibility and creativity that comes with a fast-paced setting.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack / Data Engineer · London ·
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at LineTen or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to LineTen.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like LineTen.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like LineTen that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Full Stack / Data Engineer · London ·
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at LineTen.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LineTen and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at LineTen
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If LineTen uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
