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C# Time-Series Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior C# Time-Series Engineer on a 4-month contract, paying £550/day, hybrid in Watford. Key skills include C#/.NET, time-series databases (Azure Data Explorer or InfluxDB), and experience with data ingestion and query optimization.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
544
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🗓️ - Date
April 10, 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
#Strategy #Storage #Databases #C# #Datasets #Scala #.Net #Docker #Schema Design #Kubernetes #Azure #Azure Service Bus #Python #Data Ingestion
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 a Senior C# Engineer with proven time-series database experience to join a critical platform project. This is not a general backend role. Time-series experience is essential and will be tested in depth. What You’ll Be Doing • Building high-performance backend services in C# / .NET • Working directly with time-series databases (Azure Data Explorer / Kusto or InfluxDB) • Designing and optimising data ingestion pipelines for high-volume event data • Modelling data for efficient time-based querying • Implementing partitioning strategies, retention policies, and downsampling approaches • Improving query performance across large datasets • Working within event-driven systems using Azure Service Bus Core Requirements (Non-Negotiable) • Strong C# / .NET backend engineering experience • Proven, hands-on experience with at least one: • Azure Data Explorer (ADX / Kusto) • InfluxDB • Or a comparable time-series database • Demonstrable experience: • Designing time-series data models • Building ingestion pipelines • Optimising queries at scale • Working on production systems handling high data volumes Tech Environment • C# / .NET • Azure (Functions, AKS, Storage) • Azure Service Bus • ADX / Kusto or InfluxDB • Docker / Kubernetes Additional Context Candidates will be expected to talk through real implementations, including schema design, partitioning strategy, and query optimisation. This is a hands-on engineering role focused on performance and scalability.