Microsoft Fabric Data Engineer - Senior / Principal
Location: Hybrid - 2-3 days onsite in Warrington (travel / expenses will be covered)
Permanent
Salary: Depending on experience
Our client is seeking a highly skilled Microsoft Fabric Data Engineer at Senior or Principal level to lead the design and delivery of modern data platforms across major infrastructure and regulated‑industry programmes.
You will play a key role in shaping the next generation of enterprise data capability - designing scalable, resilient data engineering solutions on Microsoft Fabric, enabling analytics, reporting, automation and AI innovation across the organisation. This role is ideal for someone who combines deep technical expertise with the ability to define standards, mentor others and drive platform adoption at scale.
As a senior technical leader, you will own end‑to‑end data engineering workflows, from ingestion to consumption, while ensuring data quality, governance and performance are built into every layer of the solution.
Key Responsibilities:
Lead Data Platform Design & Delivery
- Own the end‑to‑end design and build of modern data platforms on Microsoft Fabric, ensuring solutions are scalable, secure and aligned with enterprise data strategy.
- Architect cloud-native data pipelines and data models to support enterprise analytics, BI, reporting and AI use cases.
- Work closely with technical and business teams to translate requirements into robust, production-ready data solutions.
Build & Optimise Fabric Data Pipelines
- Design and implement high‑performance data pipelines using Fabric Data Factory, Spark, Pipelines, and other Fabric services.
- Develop and optimise lakehouse and data warehouse structures using OneLake, Lakehouse and Fabric Data Warehouse.
- Implement medallion architecture (bronze/silver/gold layers) to support curated, high‑quality datasets.
Performance, Governance & Cost Management
- Drive performance tuning, partitioning strategies, indexing, caching and incremental processing.
- Define and enforce data engineering standards, governance models, naming conventions and documentation.
- Ensure cost‑efficient use of Fabric capacity, optimising compute utilisation across workloads.
Technical Leadership & Collaboration
- Act as a technical authority for Microsoft Fabric, championing best practice and platform adoption.
- Mentor engineers, providing guidance on data modelling, pipeline optimisation and Fabric capabilities.
- Collaborate with BI developers, product managers and business teams to create data products that are accessible, scalable and aligned to strategic needs.
- Provide technical assurance across multiple concurrent platform initiatives.
Requirements:
- Experience in data engineering or modern data platform development.
- Deep hands‑on experience with Microsoft Fabric, including Lakehouse, Data Warehouse, OneLake, Pipelines and Data Factory.
- Strong SQL, Spark/PySpark and data modelling capability across analytical and operational datasets.
- Proven experience delivering complex end‑to‑end data platforms in Azure or Fabric environments.
- Strong understanding of medallion architectures, Delta Lake, distributed compute and modern data engineering principles.
- Experience defining data engineering standards, governance and security frameworks.
- Ability to engage confidently with business, product and technical stakeholders.
- A leadership mindset, comfortable mentoring, influencing and setting direction.
- A proactive, solution-led approach with a focus on quality, stability and long‑term maintainability.
If this sounds like your next move, we'd love to connect.
