Fabric Data engineer

Role: MS Fabric Data engineer Location: Windsor, UK (1-2s day WFO in a week initially) Duration: 6 Months Rate: GBP 350/day (Inside IR35) Please find the detailed JD: Job Purpose and primary objectives: Explore different possible solutions, their pros, cons and Delivery of use cases in Analytics platform. Key Responsibilities • Manage, analyze, extract and transform large data sets to drive business decisions. • Organize and advance customers platforms, utilizing Microsoft Fabric, in preparation for embarking on a platform-wide AI transformation program. • Design, develop and implement Microsoft Fabric providing advanced analytics capabilities. • Design reusable data pipelines. Ingest, curate & process data with efficient data pipelines built using Azure services. • Write design & technical documentation. communicate effectively with the end clients. • Work directly with internal/ external stakeholders to gather requirements, deliver working POCs, design and develop advanced data solutions. • Collaborate with technical team members across Microsoft Fabric and Azure Services • Other responsibilities – Budgets, targets, equipment etc (please specify): • Make sure the business requirements are captured and reflected properly in user stories as per the sprint goals. Key Skills/Knowledge: • Expertise in Microsoft Fabric’s unified analytics platform, including familiarity with One Lake, Fabric Spark. • Expert level experience of Azure Integration Services products, including Azure Databricks, Data Factory, API Manager. • Experience handling and transforming large quantities of data using T-SQL, SQL, PySpark, or Python. • Extensive experience working with big data. • Knowledge of Databricks. • Understanding of agile process, Automation tools & Azure DevOps a plus. • Experience working closely with clients to understand business challenges and needs. • Problem solving and creative approach to tackle challenges. A team player and effective communicator. Experience required: 8-10 years of relevant project management experience.