IT Senior Data Consultant
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Role details
Tech stack
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Job description
As a Senior Data Consultant, you’ll work closely with customers to understand their business challenges and design innovative data solutions that deliver measurable value. Acting as a trusted advisor, you’ll guide organisations on their data transformation journey while leveraging the latest Microsoft technologies, including Microsoft Fabric.
You Will:
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Partnering with clients to understand business requirements, data challenges, and strategic objectives .
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Advising customers on data strategy, architecture, governance, and modern data platform adoption.
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Conducting data maturity assessments and developing transformation roadmaps.
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Facilitating workshops and stakeholder sessions to align business goals with technical solutions.
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Leading the design, development, and implementation of scalable data solutions using Microsoft Fabric.
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Acting as a subject matter expert on Microsoft Fabric, keeping up to date with the latest features and capabilities.
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Supporting pre-sales activities, including discovery workshops, technical presentations, solution demonstrations, and proof-of-concept development.
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Contributing to proposals, RFP responses, and customer presentations.
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Building strong, trusted relationships with customers and key stakeholders.
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Providing technical leadership, mentoring, and guidance to consultants and developers across the practice.
Requirements
We’re looking for an experienced consultant who combines strong technical expertise with excellent stakeholder management and communication skills.
Essential skills and experience:
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Proven experience delivering modern data solutions using Microsoft Fabric, including OneLake, Dataflows, Notebooks, and Power BI.
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Strong understanding of data architecture, data modelling, data warehousing, and ETL/ELT methodologies.
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Experience engaging directly with customers in a consultancy or client-facing environment.
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Ability to translate business requirements into technical solutions.
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Experience managing multiple projects and priorities within a fast-paced delivery environment.
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Strong communication and stakeholder management skills.
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A proactive and collaborative approach with a passion for solving complex business problems through data.
Desirable skills and experience:
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Experience with Azure Data Services, including Azure Synapse, Azure Data Factory, and Databricks.
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Knowledge of SSRS, SSAS, SSIS, DAX, or MDX.
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Experience with Azure DevOps and Git.
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Exposure to Databricks, PySpark, or advanced analytics technologies.
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Microsoft Data and AI certifications, particularly Microsoft Fabric certifications.
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