Power BI developer - Energy Trading dashboard

Power BI developer - Energy Trading dashboard

Posted 2 days ago by Vallum

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Negotiable
Undetermined
Hybrid
London, UK
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Azure Databricks Business Intelligence Cloud Computing Cloud Technology Dashboard Databricks Data Engineering Data Governance Data Manipulation Datamodel Data Modeling Data Science Extract Transform Load (ETL) Finance Management Market Data Microsoft 365 Microsoft Azure Power BI Powerquery Python (Programming Language) Scalability SQL (Programming Language) Supervisory Control And Data Acquisition (SCADA) Value At Risk (VaR) Verification And Validation Workflows

Summary: We are seeking a technically proficient and commercially minded professional to support short-term energy trading operations through advanced analytics and Business Intelligence solutions. This hybrid role combines intraday/short-term energy market trading support with the development of data-driven insights using Power BI and Azure Databricks. The ideal candidate will possess a strong understanding of energy markets, data engineering workflows, and dashboard development, enabling traders to make timely, data-informed decisions in fast-moving environments.

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.
  • Implement automated reporting processes for trading, risk, and operations teams.
  • Ensure data governance, validation, and quality control standards are maintained.

Key Skills:

  • Bachelor's degree in Finance, Economics, Engineering, Data Science, or related quantitative field.
  • 2-5+ years of experience in short-term power trading, energy analytics, or trading support.
  • Strong experience developing dashboards in Power BI (DAX, Power Query, data modelling).
  • Hands-on experience with Azure Databricks (Spark, Python, SQL, ETL workflows).
  • Understanding of energy market structures (day-ahead, Real Time, ancillary services).
  • Proficiency in SQL and Python for data manipulation and analytics.
  • Strong analytical mindset with the ability to translate trading requirements into technical solutions.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

We are seeking a technically proficient and commercially minded professional to support short-term energy trading operations through advanced analytics and Business Intelligence solutions. This hybrid role combines intraday/short-term energy market trading support with development of data-driven insights using Power BI and Azure Databricks.

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.

Business Intelligence & Data Development

  • 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.

  • Implement automated reporting processes for trading, risk, and operations teams.

  • Ensure data governance, validation, and quality control standards are maintained.

Required Qualifications

  • Bachelor's degree in Finance, Economics, Engineering, Data Science, or related quantitative field.

  • 2-5+ years of experience in short-term power trading, energy analytics, or trading support.

  • Strong experience developing dashboards in Power BI (DAX, Power Query, data modelling).

  • Hands-on experience with Azure Databricks (Spark, Python, SQL, ETL workflows).

  • Understanding of energy market structures (day-ahead, Real Time, ancillary services).

  • Proficiency in SQL and Python for data manipulation and analytics.

  • Strong analytical mindset with the ability to translate trading requirements into technical solutions.

Preferred Qualifications

  • Experience working within ISO/RTO markets (eg, ERCOT, PJM, MISO, CAISO, etc.).

  • Familiarity with risk systems, VaR modelling, and position management tools.

  • Knowledge of cloud architecture within Microsoft Azure environment.

  • Experience with automated trading support systems or algorithmic frameworks.

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