

djr
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
-
💰 - Day rate
544
-
🗓️ - Date
April 9, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
Watford, England, United Kingdom
-
🧠 - 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.
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.






