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Senior Time-Series Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Time-Series Engineer (Python or .NET) on a 4-month contract, paying £550/day, hybrid in Watford. Key skills include hands-on experience with time-series data, InfluxDB/Azure Data Explorer, and Azure services.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
544
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🗓️ - Date
April 9, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Watford, England, United Kingdom
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🧠 - Skills detailed
#Docker #"ETL (Extract #Transform #Load)" #Data Ingestion #Datadog #Python #Storage #GitHub #KQL (Kusto Query Language) #Azure #Datasets #Data Pipeline #.Net #Azure Service Bus #C# #Kubernetes #API (Application Programming Interface) #Data Layers #Scala
Role description
Senior Time-Series Engineer (Python or .NET) – Contract £550/day Hybrid (Watford) 4 Months Outside IR35 We’re supporting a technology-led organisation building high-throughput, event-driven systems operating at scale. They are looking for 2 Senior Engineers (1 Python, 1 .NET/C#) to work on a time-series focused platform powering real-time data ingestion, storage, and analytics. This is not a standard backend role. If you haven’t actually worked hands-on with time-series data in production, this won’t be the right fit. What You’ll Be Doing • Building API-driven backend services handling high transactional workloads • Designing and optimising time-series data pipelines (ingestion → storage → query) • Working with event-driven architectures using Azure Service Bus • Modelling time-series datasets for performance and scalability • Implementing retention policies, partitioning strategies, and downsampling • Optimising query performance across large-scale datasets • Deploying services into Azure (AKS, Functions, App Services) Core Requirements (Non-Negotiable 🚨) • Proven, hands-on experience with time-series data in productionNot theoretical • Not “touched it once” • You’ve built, scaled, and optimised it • Experience with: • InfluxDB and/or Azure Data Explorer (ADX / Kusto) • Kusto Query Language (KQL) (for ADX users) • Strong understanding of: • Time-series data modelling • Ingestion pipelines • Query optimisation • Partitioning strategies • Hot vs cold data layers • Retention & downsampling Tech Environment • Python or C# / .NET • Azure (AKS, Functions, App Services, Storage) • Azure Service Bus (event-driven systems) • Docker / Kubernetes • Azure Monitor / App Insights / Datadog • GitHub Actions (CI/CD) What They’re Looking For • Engineers who have worked on long-lived, production platforms • Strong focus on reliability, scalability, and performance • Comfortable operating in high-load, distributed systems • Able to explain real implementations, not just concepts Why This Role • Proper engineering challenge (not CRUD/web apps) • Work on real-time, high-volume data systems • High-impact project with immediate demand for delivery • Outside IR35, strong rates, quick turnaround If you’ve genuinely built and scaled time-series systems, this is a very strong contract. If you haven’t, this one won’t land.