Role: Senior Data Consultant
Department: Data and AI
• Location: Dublin
• Contract: Permanent
• Travel Required: Occasional
• Reporting To: Data and AI Practice Director
About Storm Technology
Storm Technology specialises in helping clients expand the possibilities of what digital technology can achieve for their business.
A Microsoft Solutions Partner with over 30 years of experience, Storm Technology is the Microsoft solutions partner of choice for digital technology advancement and adoption.
Our team is comprised of highly skilled business professionals, technology experts, and change management specialists, who bring business and technology know-how together with a proven project methodology to deliver tangible return on investment.
They are passionate individuals who thrive when part of a team that designs the best Microsoft technology solutions for our clients.
In August ****, Storm announced that it had been acquired by Littlefish, an award-winning managed IT and cyber security services provider based in Nottingham, UK.
This acquisition strengthens Storm's service portfolio for both new and existing clients in Ireland, particularly within the managed IT services and cyber security space, and facilitates future growth, enabling the delivery of its Microsoft business solutions to the UK market.
About this role
We are seeking a Senior Data Consultant who is passionate about data analytics and helping customers achieve more with their data.
As part of our Data and AI consultancy we aim to help our customers of all sizes to gain greater insights through understanding, modelling and predicting better outcomes.
With new clients coming into the business we are currently expanding and looking for someone to join our team.
This role will report directly to the Data and AI Practice Director and will work closely with other customers, team leads, technical consultants, resource managers and developers across the business to ensure practice goals and objectives are met.
Priorities and key areas of delivery focus
Work with clients to understand what they need from their data.
Advise clients on data strategy, architecture, and governance aligned with their business goals.
Conduct data maturity assessments and recommend roadmaps for transformation.
Facilitate workshops and stakeholder sessions to align technical solutions with business outcomes.
Lead and contribute to the design, development, and deployment of data solutions using Microsoft Fabric, acting as a subject matter expert on Microsoft Fabric, staying up to date with new features and capabilities.
Support the sales team with technical expertise during client engagements.
Participate in discovery sessions, requirements gathering, and solution scoping.
Develop and present proof-of-concepts (PoCs), demos, and solution proposals.
Contribute to RFP/RFI responses and client presentations.
Build trusted relationships with clients by understanding their business challenges and aligning data solutions accordingly.
Provide technical leadership and mentorship to junior consultants and developers.
Technical requirements
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Proven experience delivering data solutions using Microsoft Fabric, including OneLake, Dataflows, Notebooks, and Power BI.
Strong understanding of data architecture, data modeling, and ETL/ELT processes.
Experience with Azure Data Services (e.g., Synapse, Data Factory, Databricks) is a plus.
Demonstrates an understanding of enterprise BI and Data Warehousing tools, concepts and methods.
Experience in pre-sales or client-facing consulting roles.
Ability to manage multiple projects and priorities in a fast-paced environment.
Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders.
Strong analytical and problem-solving skills.
Proactive, self-motived, and able to work independently or as part of a team.
Comfortable working in a client-facing role with a consultative and business development mindset.
Experience with SSRS/SSAS (Tabular with DAX & OLAP with MDX) / SSIS.
Experience with Databricks, PySpark, and other data sciences tools.
Experience using Azure DevOps / Git.
Microsoft Certified on Data (e.g., Fabric).
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