Hybrid BI Data Engineer - Power BI, Fabric & ETL

Hybrid BI Data Engineer - Power BI, Fabric & ETL

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Pearson Carter

At a Glance

  • Tasks: Build and maintain a modern data platform using Microsoft Fabric and Power BI.
  • Company: Join Pearson Carter's innovative IT team in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects and career advancement opportunities.
  • Why this job: Make an impact by transforming data into insightful dashboards and reports.
  • Qualifications: Strong SQL skills and experience with ERP data are essential.

The predicted salary is between 40000 - 50000 Β£ per year.

Pearson Carter is recruiting a Business Intelligence Data Engineer to join its internal IT team in London (Kent).

The role focuses on building and maintaining a modern data and analytics platform using Microsoft Fabric and Power BI.

You will design scalable data pipelines, implement ETL processes, and translate business requirements into insightful dashboards and reports.

Strong SQL, ERP data knowledge, and collaboration with stakeholders are essential.

#J-18808-Ljbffr

Hybrid BI Data Engineer - Power BI, Fabric & ETL employer: Pearson Carter

At Pearson Carter, we pride ourselves on being an excellent employer by fostering a collaborative and supportive work culture that values employee growth and development. Our Skegness location offers unique advantages, including a close-knit community and the opportunity to work directly with clients, ensuring that your contributions have a meaningful impact. Join us to be part of a team that is dedicated to maximizing ERP investments while providing you with the resources and training needed to excel in your career.

Pearson Carter

Contact Details:

Pearson Carter Recruitment Team

We think you need these skills to ace Hybrid BI Data Engineer - Power BI, Fabric & ETL

SQL
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Python
Data Engineering
Automation