Job Description

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.