At a Glance
- Tasks: Design and maintain data pipelines, reporting solutions, and BI infrastructure.
- Company: Leading organisation focused on modern data and analytics.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Exciting role with a focus on innovative data capabilities.
- Why this job: Join a team shaping Business Intelligence and driving data-driven decisions.
- Qualifications: Experience with Microsoft Fabric, Power BI, SQL, and ETL processes.
The predicted salary is between 50500 - 50500 £ per year.
- Business Intelligence Data Engineer – £50,500 (Microsoft Fabric & Power BI)
- Hybrid Permanent Competitive Salary
I’m currently working with a leading organisation that is looking to hire a Business Intelligence Data Engineer to join its internal IT team and play a key role in developing and maintaining its modern data and analytics platform.
This is an exciting opportunity for a data‑focused professional with experience across Microsoft Fabric, Power BI, SQL, ETL, and Business Central to help shape the organisation’s Business Intelligence capabilities and support data‑driven decision‑making across the business.
You will be responsible for designing, developing, and maintaining data pipelines, reporting solutions, and BI infrastructure, while working closely with stakeholders to translate business requirements into actionable insights.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes to support Business Intelligence solutions.
- Support the implementation and ongoing development of Microsoft Fabric across the organisation.
- Develop and optimise data models, reporting solutions, and dashboards using Microsoft Power BI.
- Work with business stakeholders to understand requirements and translate them into effective data solutions.
- Define, develop, and maintain KPIs and reporting metrics across key business functions.
- Ensure data accuracy, integrity, availability, and quality across the BI platform.
- Monitor BI infrastructure and scheduled data processes, identifying and resolving issues where required.
Essential experience
- Proven experience as a Business Intelligence Data Engineer, BI Developer, Data Engineer, or similar role.
- Strong experience with Microsoft Fabric
- Strong experience developing solutions using Power BI.
- Advanced SQL skills with experience in data querying, transformation, and manipulation.
- Experience designing and managing ETL processes and data pipelines.
- Experience working with Dynamics 365 Business Central or Dynamics NAV.
- Understanding of ERP/business application data and processes.
- Experience creating data models, dashboards, and analytical reporting solutions.
- Strong communication skills with the ability to work with both technical and non‑technical stakeholders.
- Location
- Kent, London
Interested?
Email george@pearsoncarter. com
This is a fantastic opportunity to join an organisation investing heavily in its data capability, where you will play a key role in the implementation of Microsoft Fabric and the development of a modern Business Intelligence platform.
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BI Data Engineer - £50,500 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.
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We think this is how you could land BI Data Engineer - £50,500
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We think you need these skills to ace BI Data Engineer - £50,500
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
