Details:
- Salary: £85,000 - 95,000 - Annum
- Job Type: Permanent
- Job Status: Full-Time
- Salary Per: Annum
- Location: Manchester Greater Manchester
- Date: 1 day ago
Description:
Fabric Data Engineer
Manchester or Leeds + Hybrid
£85,000 - £95,000
Your new role
The Data Engineer designs, builds, integrates and maintains data solutions using the firm's strategic data platforms, with a particular focus on Microsoft Fabric and the firm's financial systems. The role translates business, finance and reporting needs into secure, maintainable and supportable data solutions that improve data quality, enable automation and deliver measurable value. Working within the Data Engineering Team, the role combines data solution design with hands-on data ingestion, transformation, modelling, integration and reporting.
Responsibilities
Design and deliver robust Microsoft Fabric data solutions, including pipelines, lakehouses, warehouses and integrations that power business insight and financial reporting.
Partner with Finance and business stakeholders to transform complex requirements into trusted, scalable and high-performing data platforms.
Build secure, automated data flows across financial systems, enterprise applications, APIs and third-party services, ensuring data quality and reliability.
Drive best practice across data engineering, including solution design, testing, deployment, governance, documentation and continuous improvement.
Troubleshoot and optimise data solutions, proactively identifying opportunities to enhance performance, reporting capabilities and business value.
Champion innovation by leveraging Microsoft Fabric's evolving capabilities to deliver measurable benefits while maintaining strong security and compliance standards.
Experience needed
Proven track record delivering enterprise-scale data solutions, with the ability to turn complex business and finance requirements into high-impact, data-driven outcomes.
Strong hands-on expertise with Microsoft Fabric, including Data Factory, OneLake, Lakehouses, Warehouses, Notebooks and Power BI.
Advanced skills in SQL, data modelling, data integration, APIs and Python/Spark, with a focus on building scalable, resilient and high-performing data platforms.
Solid understanding of data governance, security, privacy, quality and operational support, ensuring data remains trusted, compliant and business-ready.
Experience working with financial data, reporting processes and system integrations, delivering accurate and reliable insights for decision-making.
Strong knowledge of DevOps and engineering best practices, including source control, automated testing, CI/CD and deployment pipelines.
Excellent analytical, troubleshooting and problem-solving skills, with the ability to resolve issues across complex data ecosystems.
Confident communicator who can engage effectively with technical and business stakeholders, explain complex concepts clearly and influence decision-making.
Experience with Azure data services, Microsoft Purview and modern cloud data architectures is highly desirable.
Microsoft Fabric, Azure Data Engineering or Power BI certifications would be an advantage.
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