Hybrid BI Data Engineer: Power BI & Fabric Expert

Hybrid BI Data Engineer: Power BI & Fabric Expert

Full-Time 45000 - 55000 £ / year (est.) No working from home possible
Pearson Carter

At a Glance

  • Tasks: Design and maintain data pipelines and reports using Power BI and Microsoft Fabric.
  • Company: Join Pearson Carter, a leader in Business Intelligence solutions.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
  • Other info: Collaborate with stakeholders to turn data into actionable insights.
  • Why this job: Make a real impact by driving data-driven decisions across the business.
  • Qualifications: Strong SQL and ETL skills, plus experience with Dynamics 365 Business Central.

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

Pearson Carter is seeking a Business Intelligence Data Engineer for a hybrid, permanent role in Kent.

You will design and maintain data pipelines, reports, and BI infrastructure using Microsoft Fabric and Power BI, driving data‑driven decisions across the business.

Strong SQL and ETL skills, plus experience with Dynamics 365 Business Central, are essential.

You will work with stakeholders to translate requirements into actionable insights, develop KPIs, and ensure data quality across the BI

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Hybrid BI Data Engineer: Power BI & Fabric Expert 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 Expert

SQL
Data Pipeline Development
Problem-Solving Skills
Python
Communication Skills
Data Engineering
API Integration