Location: Sheffield (2 days a week) / Hybrid
Reporting to: VP of Engineering
The Team: 2 Data Scientists, 1 Data Engineer
The Opportunity
We are an intelligent asset management company specialising in industrial IoT data. We ingest high-frequency factory and sensor data, apply machine learning techniques, and present high value actionable insights to analysts and customers.
The Mission
You will not be maintaining a legacy system; you will be architecting the new one. You will take ownership of the data flows within the platform, designing a robust architecture that supports both real-time operational views and deep historical analysis.
The Tech Stack
Primary Objectives (First 6–12 Months)
* Re-platforming: Own the redesign and rebuild of the data transformation layer (post-event bus) in Databricks. Move from ad-hoc scripts to software engineering standards (CI/CD, testing, modular code)
* Modelling Implementation: Support the implementation of the "Unified Name Space" (UNS) across the data estate, to include schema and path standardisation; machine hierarchies and semantic relationships; and methodologies for validation and processing of data against contracts.
* Enablement: Establish a stable data serving layer for Grafana and Analytics (via Databricks/MLflow), unblocking the Data Science team.
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