At a Glance
- Tasks: Design and implement Microsoft Fabric solutions for enterprise data and analytics.
- Company: Join a leading tech firm driving digital transformation.
- Benefits: Hybrid work, competitive pay, and opportunities for professional growth.
- Other info: Be part of a dynamic team with exciting projects and career advancement.
- Why this job: Make a real impact on data-driven decision making with cutting-edge technology.
- Qualifications: Experience in Microsoft Fabric, data architecture, and strong analytical skills.
The predicted salary is between 63000 - 77000 £ per year.
Microsoft Fabric Specialist - London / Bracknell / Birmingham / Leeds / Manchester / Livingston - Hybrid - SCC Flex Contract
We are seeking an experienced
Microsoft Fabric Specialist to support the delivery of enterprise-wide data and analytics initiatives across a complex technology landscape.
This is an exciting opportunity for a skilled Microsoft Fabric Specialist to join a high-profile client programme, driving the design, implementation and optimisation of modern data platforms that enable business intelligence, advanced analytics and data-driven decision making.
The successful
Microsoft Fabric Specialist will play a critical role in delivering scalable, secure and high-performing Microsoft Fabric solutions while supporting wider digital transformation and data modernisation programmes.
Your responsibilities as the Microsoft Fabric Specialist
- Design, implement and support Microsoft Fabric solutions across enterprise environments.
- Develop and maintain scalable data architectures, data pipelines and analytics platforms using Microsoft Fabric capabilities.
- Build and optimise data integration, transformation and orchestration processes across multiple data sources.
- Deliver solutions leveraging Fabric components including Data Factory, Data Engineering, Data Warehousing, Data Science, Real-Time Analytics and Power BI.
- Collaborate with business stakeholders, data engineers, architects and reporting teams to define and deliver data requirements.
- Support the migration and modernisation of existing data platforms into Microsoft Fabric.
- Design and implement robust data governance, security and compliance controls.
- Ensure data solutions are scalable, resilient, performant and aligned with organisational standards.
- Develop and optimise semantic models, datasets and reporting solutions to support business intelligence requirements.
- Monitor platform performance and proactively identify opportunities for optimisation and enhancement.
- Support data strategy initiatives and contribute to long-term analytics roadmaps.
- Provide technical leadership and best-practice guidance across Microsoft Fabric technologies and services.
- Produce and maintain technical documentation, solution designs and operational procedures.
As a successful Microsoft Fabric Specialist, you will have
- Proven experience working as a Microsoft Fabric Specialist, Data Platform Engineer, Data Architect or similar role.
- Strong hands-on experience designing and implementing solutions within Microsoft Fabric.
- Experience across key Fabric workloads including Data Factory, Data Engineering, Data Warehousing and Power BI.
- Strong understanding of data modelling, ETL/ELT processes and modern data architecture principles.
- Experience developing and optimising data pipelines using Spark, SQL and Fabric-native capabilities.
- Strong knowledge of Microsoft Azure data services and cloud-based data platforms.
- Experience migrating legacy or existing analytics environments to Microsoft Fabric.
- Understanding of data governance, security, privacy and compliance best practices.
- Experience integrating structured and unstructured data from a variety of enterprise sources.
- Strong Power BI development and reporting experience, including semantic models and dashboard optimisation.
- Knowledge of data lake, lakehouse and warehouse architectures.
- Excellent stakeholder management and communication skills.
- Strong analytical, troubleshooting and problem-solving abilities.
- Experience working within large-scale enterprise transformation programmes is highly desirable.
- Relevant Microsoft certifications in Fabric, Power BI, Azure Data or Data Engineering are advantageous.
- If you are a
Microsoft Fabric Specialist seeking a challenging and rewarding contract opportunity where you can make an immediate impact on critical data and transformation programmes, we would love to hear from you.
NOTE
At SCC, we take the privacy and security of your information very seriously.
Any information we hold will be handled in accordance with current data protection legislation.
Upon submitting your application, SCC will process your information in line with our privacy policy, which can be found on our website under Legal Privacy Notice Flexible Resourcing.
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Microsoft Fabric Specialist employer: SCC
SCC is an exceptional employer, offering a dynamic work environment in London with a hybrid working model that promotes work-life balance. Employees benefit from a competitive salary package, extensive career development opportunities, and a strong commitment to diversity and inclusion, making it a rewarding place to grow your career in the IT sector.
StudySmarter Expert Advice🤫
We think this is how you could land Microsoft Fabric Specialist
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Microsoft Fabric Specialist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SCC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SCC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SCC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SCC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
