Power BI Developer: Dashboards, ETL & Automation in London

Power BI Developer: Dashboards, ETL & Automation in London

London Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
Vision RT Ltd

At a Glance

  • Tasks: Create stunning dashboards and automate data processes using Power BI, Python, and SQL.
  • Company: Vision RT Ltd, a forward-thinking tech company in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for skill development.
  • Other info: Collaborative environment with great potential for career advancement.
  • Why this job: Join a dynamic team and make a real difference in operational efficiency.
  • Qualifications: Experience with Power BI, Python, and SQL is essential.

The predicted salary is between 45000 - 55000 Β£ per year.

Vision RT Ltd in London is seeking a Power BI Developer to build dashboards and internal applications across MIS.

You will use Power BI, Python, and SQL to deliver scalable data solutions and improve automation for operational efficiency.

The role focuses on end-to-end dashboard ownership, data modelling, and system integration while collaborating with stakeholders to translate requirements into technical solutions.

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Power BI Developer: Dashboards, ETL & Automation in London employer: Vision RT Ltd

Vision RT Ltd is an exceptional employer located in the vibrant Greater London area, offering a dynamic work environment that fosters creativity and collaboration. Employees benefit from ample opportunities for professional growth and development, alongside a supportive culture that values innovation and teamwork. With a focus on meaningful projects and a commitment to employee well-being, Vision RT Ltd stands out as a rewarding place to build a career in event coordination.

Vision RT Ltd

Contact Details:

Vision RT Ltd Recruitment Team

We think you need these skills to ace Power BI Developer: Dashboards, ETL & Automation in London

SQL
Python
Communication Skills
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering