£550 Per day
Outside
Remote
United Kingdom
Summary: A leading consultancy is seeking a Senior Microsoft Fabric Data Engineer for a remote, short-term engagement focused on backend data platform development and Microsoft Fabric adoption. The role requires hands-on engineering skills, the ability to operate independently, and provide technical guidance to customer teams. The ideal candidate will have strong communication skills and experience in delivering technical solutions in a consulting environment.
Key Responsibilities:
- Deliver backend Microsoft Fabric engineering solutions focused on data ingestion and platform development.
- Work closely with stakeholders to understand requirements and shape practical delivery plans.
- Provide technical guidance and support to customer teams on Microsoft Fabric capabilities and implementation approaches.
- Build and optimise ingestion pipelines and backend data engineering solutions.
- Operate autonomously within a fast-moving consulting environment.
- Communicate effectively with both technical and non-technical stakeholders.
- Help assess delivery scope, feasibility, and timelines during the early stages of the engagement.
Key Skills:
- Strong hands-on Microsoft Fabric engineering experience.
- Strong backend data engineering background (not solely BI/reporting focused).
- Experience designing and building modern data ingestion pipelines.
- Strong Azure data platform experience.
- Comfortable working independently with limited oversight.
- Previous client-facing consulting or professional services experience.
- Strong communication and stakeholder management skills.
- Ability to advise customer teams and contribute to technical direction.
Salary (Rate): £550/day
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Senior Microsoft Fabric Data Engineer
Location: Remote
Contract: Initial 2-month engagement
Rate: £500–£550/day (Outside IR35)
Role Overview
A leading consultancy is looking for a Senior Microsoft Fabric Data Engineer to support a short-term customer engagement focused on backend data platform development and Microsoft Fabric adoption. This is a hands-on engineering role requiring someone who can operate independently, deliver technical solutions, and provide guidance to customer teams around Microsoft Fabric best practices and implementation.
Key Responsibilities
- Deliver backend Microsoft Fabric engineering solutions focused on data ingestion and platform development.
- Work closely with stakeholders to understand requirements and shape practical delivery plans.
- Provide technical guidance and support to customer teams on Microsoft Fabric capabilities and implementation approaches.
- Build and optimise ingestion pipelines and backend data engineering solutions.
- Operate autonomously within a fast-moving consulting environment.
- Communicate effectively with both technical and non-technical stakeholders.
- Help assess delivery scope, feasibility, and timelines during the early stages of the engagement.
Key Skills & Experience
- Strong hands-on Microsoft Fabric engineering experience.
- Strong backend data engineering background (not solely BI/reporting focused).
- Experience designing and building modern data ingestion pipelines.
- Strong Azure data platform experience.
- Comfortable working independently with limited oversight.
- Previous client-facing consulting or professional services experience.
- Strong communication and stakeholder management skills.
- Ability to advise customer teams and contribute to technical direction.
Nice to Have
- Experience within enterprise-scale environments.
- Exposure to broader Microsoft data technologies such as Power BI, Azure Data Factory, Synapse, or Databricks.
- Experience working on short-term or fast-paced delivery engagements.
Ideal Profile
The ideal consultant will be a strong senior-level Fabric Engineer who combines hands-on technical capability with strong communication and consulting skills. They should be comfortable owning delivery, advising stakeholders, and working autonomously within a customer environment.