Power BI Developer
Posted Today by Vallum Associates
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Senior Power BI Developer role involves designing, developing, and maintaining interactive dashboards and reporting solutions using Microsoft Power BI. The candidate will work with data engineering workflows and integrate various data sources to support traders in making informed decisions. This position is contract-based and requires a strong understanding of energy markets. The role is hybrid, based in London.
Key Responsibilities:
- Design, develop, and maintain interactive dashboards and reporting solutions using Microsoft Power BI.
- Build scalable data pipelines and transformation workflows using Azure Databricks.
- Integrate market data, SCADA data, weather feeds, and internal trading systems into centralized data models.
- Optimize data models for performance, reliability, and scalability.
Key Skills:
- Strong understanding of energy markets.
- Experience in data engineering workflows.
- Proficiency in Microsoft Power BI.
- Experience with Azure Databricks.
- Ability to integrate various data sources into centralized data models.
- Skills in optimizing data models for performance and scalability.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Senior Power BI Developer - Hybrid/London - Contract
Hybrid- London
One of our prestigious clients is currently looking for a Senior Power BI Developer for a contract opportunity. The ideal candidate will possess strong understanding of energy markets, data engineering workflows, and dashboard development, enabling traders to make timely, data-informed decisions in fast-moving environments.
Design, develop, and maintain interactive dashboards and reporting solutions using Microsoft Power BI. Build scalable data pipelines and transformation workflows using Azure Databricks. Integrate market data, SCADA data, weather feeds, and internal trading systems into centralized data models. Optimize data models for performance, reliability, and scalability.