£68 Per hour
Outside
Hybrid
Watford, England, United Kingdom
Summary: The role of Senior Python Engineer focuses on backend engineering for a real-time data platform, specifically working with event-driven systems and time-series data. The position requires strong Python skills and experience in building API-driven services and microservices. It is a contract role based in Watford with a hybrid working arrangement. The contract duration is four months and classified as outside IR35.
Key Responsibilities:
- Building API-driven backend services in Python
- Developing event-driven microservices using Azure Service Bus
- Working on high-throughput ingestion and processing systems
- Deploying services via Azure Functions or Docker on AKS
Key Skills:
- Strong Python backend engineering experience
- Experience designing data models for time-based querying
- Optimising queries and handling large datasets
- Experience working within event-driven architectures
- Familiarity with Azure (Functions, AKS, Storage)
- Experience with Azure Service Bus
- Knowledge of ADX / Kusto or InfluxDB
- Experience with Docker / Kubernetes
Salary (Rate): £68.00/hr
City: Watford
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Senior Python Engineer (Microservices / Event-Driven) – Contract £550/day | Outside IR35 4 Months | Watford (HYBRID)
We’re hiring a Senior Python Engineer with proven time-series experience to work on a real-time data platform. This is a backend engineering role focused on event-driven systems and time-series data. It is not a data science or analytics position.
What You’ll Be Doing
- Building API-driven backend services in Python
- Developing event-driven microservices using Azure Service Bus
- Working on high-throughput ingestion and processing systems
- Deploying services via Azure Functions or Docker on AKS
Core Requirements (Non-Negotiable)
- Strong Python backend engineering experience
- Demonstrable experience:
- Designing data models for time-based querying
- Optimising queries and handling large datasets
- Working within event-driven architectures
Tech Environment
- Python
- Azure (Functions, AKS, Storage)
- Azure Service Bus
- ADX / Kusto or InfluxDB
- Docker / Kubernetes