At a Glance
- Tasks: Design and optimise data platforms using Microsoft technologies to deliver impactful solutions.
- Company: Join KPMG Microsoft Business Solutions, a leader in innovative tech solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and client success.
- Why this job: Make a real difference by transforming data into actionable insights for clients.
- Qualifications: Experience with Microsoft data stack and strong communication skills required.
The predicted salary is between 60000 - 80000 € per year.
At KPMG Microsoft Business Solution we implement best in class solutions across the Microsoft technology stack. We have extensive knowledge and expertise in all areas, enabling us to provide our clients with an integrated end-to-end solution. Our solutions are based on the Dynamics 365, Microsoft 365 and Azure range of products which enables us to deliver powerful, connected business solutions that drive significant client value.
The Role: We are looking for a client-facing Data Consultant who can design, build, and optimise modern data platforms and analytics solutions using the Microsoft data stack, with a strong emphasis on Microsoft Fabric. You’ll work across data ingestion, transformation, modelling, governance, and visualisation—translating business needs into robust, secure, scalable solutions that deliver measurable outcomes. This person must be comfortable speaking to client and internal teams on technical matters.
The Data Consultant will be responsible for:
- Delivery & Engineering
- Design, build, and optimise data pipelines and architectures using Microsoft Fabric and adjacent Azure data services.
- Implement ingestion and transformation patterns in Fabric using Lakehouse, Pipelines, and Notebooks, ensuring data is accessible, well-organised, and high-quality.
- Build and maintain scalable data processing systems that transform complex datasets into trusted, analytics-ready assets.
- Establish practices for data quality measurement, monitoring, and feedback loops across ingestion/migration activities.
- Analytics & Semantic Modelling
- Create and enhance Power BI semantic models (relationships, measures, security rules).
- Implement data-access controls for analytical consumption (e.g., row-level/object-level security patterns in semantic models).
- Develop insightful reporting and analytics experiences in Power BI to augment client decision-making and operational outcomes.
- Architecture, Governance & Standards
- Translate business requirements into end-to-end data architecture, balancing performance, cost, security, and maintainability.
- Apply and advise on security patterns and contribute to governance-by-design.
- Enforce technical documentation standards, architectural artefacts, and implementation patterns that improve repeatability and delivery quality.
- Consulting, Stakeholders & Pre-sales
- Engage stakeholders to shape problem statements, clarify requirements, and define pragmatic delivery approaches.
- Support scoping, estimation, and delivery planning; produce high-quality client-facing documentation and presentations.
- Collaborate with adjacent teams (e.g., Dynamics/Power Platform/AI) to integrate analytics and data capabilities into broader solutions.
- Stay current with Fabric capabilities and the evolving Microsoft data ecosystem, bringing innovation into client solutions.
Required Skills & Experience:
- Microsoft Data Stack
- Hands-on experience delivering data solutions with Microsoft Fabric, including Lakehouse, Pipelines, and Notebooks/Spark-based processing.
- Strong capability in data pipeline and architecture design and optimisation across Microsoft tooling (Fabric and/or other Azure services).
- Strong Power BI capability (reporting + modelling) and ability to connect engineering outputs to analytics consumption.
- Understanding of Direct Lake semantic modelling design considerations (model creation, table choices, and enforcing access rules).
- Proven experience with ingestion and transformation patterns (ETL/ELT concepts), data modelling, and delivering analytics-ready datasets.
- Ability to implement approaches that improve delivery reliability: data quality checks, monitoring, and operational feedback mechanisms.
- Consulting & Communication
- Strong written and verbal communication, able to present technical concepts clearly to mixed audiences.
- Strong relationship-building and stakeholder management in complex client environments.
- Code Management
- CI/CD for Fabric items. Git-based workflow. Testing frameworks. Performance tuning patterns. Cost/capacity optimisation.
Desirable Skills & Experience:
- Experience across adjacent Microsoft services often paired with Fabric (e.g., Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake).
- Familiarity with Microsoft Purview and broader governance practices.
- Dynamics 365 CE and FO integration and analytics.
- Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML / AI Foundry / Azure OpenAI), particularly where analytics feeds AI-powered apps.
- Experience designing BI / data analytics solutions and enforcing architecture/documentation standards.
The Person:
- Strong technical skills.
- Experience of delivering client engagements.
- Experience in a consultancy or customer facing role.
- An intelligent, analytical and pragmatic approach to problem solving.
- Excellent relationship building skills with clients and colleagues.
- Excellent interpersonal skills and the ability to influence and manage a range of relationships in a complex environment.
- Strong communication skills (verbal, written and listening): an ability to present information concisely, to communicate in a manner applicable to all levels.
- Able to produce high quality and professional technical documentation.
- Excellent attention to detail and ability to ensure documents are consistent in language, terminology and style.
- Flexible approach to work with a focus on delivery to deadlines and high standards.
- Ability to handle highly confidential information with tact and discretion.
- Be able to achieve SC security clearance.
Copilot Consultant employer: our firm
At KPMG Microsoft Business Solution, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. As a Copilot Consultant, you'll have access to extensive training and development opportunities, allowing you to grow your expertise in cutting-edge Microsoft technologies while working alongside industry leaders. Our commitment to employee well-being is reflected in our supportive environment and flexible work arrangements, making us an exceptional employer for those seeking meaningful and rewarding careers in data consultancy.
StudySmarter Expert Advice🤫
We think this is how you could land Copilot Consultant
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at KPMG or in a similar role. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Practice explaining complex concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at KPMG Microsoft Business Solutions.
We think you need these skills to ace Copilot Consultant
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Microsoft Fabric and the data stack. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Communication Skills:Since this role involves client interaction, it’s crucial to demonstrate your ability to communicate complex technical concepts clearly. Use your written application to reflect your communication style—keep it professional yet approachable!
Highlight Your Problem-Solving Abilities:We love a good problem solver! In your application, share examples of how you've tackled challenges in previous roles, especially those related to data architecture or analytics. This will show us you can think on your feet.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at our firm
✨Know Your Microsoft Stack
Make sure you brush up on your knowledge of the Microsoft data stack, especially Microsoft Fabric. Be ready to discuss how you've used Lakehouse, Pipelines, and Notebooks in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Communication Skills
Since this role involves client-facing responsibilities, practice explaining technical concepts in simple terms. Prepare examples where you successfully communicated complex ideas to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business needs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data architecture or analytics. Think through potential scenarios involving data ingestion or transformation patterns and how you would approach them. This will highlight your analytical skills and problem-solving abilities.
✨Highlight Your Collaborative Spirit
Collaboration is key in this role, so be prepared to discuss how you've worked with cross-functional teams in the past. Share specific examples of how you’ve engaged stakeholders to shape project requirements or how you’ve integrated analytics into broader solutions. This will show that you can work well in a team environment.
