At a Glance
- Tasks: Design and deliver cutting-edge analytics solutions using Microsoft Fabric.
- Company: Join Avanade, a leading Microsoft Global Alliance Partner.
- Benefits: 80+ hours of training per year, paid certifications, and global expertise access.
- Other info: Collaborative culture focused on diversity, inclusion, and continuous growth.
- Why this job: Work with innovative tech and high-profile clients to solve complex challenges.
- Qualifications: Experience in Microsoft Fabric, data engineering, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Our talented Microsoft Fabric team is made up of globally recognised experts and there’s room for more analytical, innovative, client driven data professionals. If you’re passionate about helping clients make better, data driven decisions to tackle their most complex business challenges, let’s talk. Take your skills to the next level and build a career where you can truly do what matters.
As a member of the Fabric Engineering team, you’ll have access to the research, knowledge, and tools to create leading edge solutions across Avanade’s Data & AI practice. The role of Fabric Engineer is ideal for ambitious technologists who are passionate about working with the latest Microsoft Fabric technologies to deliver modern, highly scalable data platforms that underpin our clients’ analytics and AI ambitions. Our clients look to us for innovation — which means you’ll often work with new and emerging capabilities, giving you the opportunity to master the latest technologies and stay ahead of the curve.
What you’ll do
- Design, develop, and deliver enterprise grade analytics solutions using Microsoft Fabric
- Evangelise and evolve best practices for both clients and colleagues, mentoring team members and supporting their personal development
- Continuously develop your technical skills across Microsoft Fabric and AI technologies, achieving and maintaining relevant certifications
- Work directly with high‑profile clients across a variety of sectors to understand requirements and present solutions to senior customer stakeholders.
Skills and experience
- Proven Microsoft Fabric delivery experience, with a strong background in data engineering
- Demonstrable end‑to‑end experience delivering data engineering solutions, including large‑scale projects
- Experience working with modern Microsoft Fabric and Azure technologies, such as Synapse, Data Factory, Azure Data Lake Storage (Gen2), Purview, Cosmos DB, OpenAI, Azure ML, and AI Foundry
- Solid understanding of software engineering concepts, with hands‑on experience using Python, Scala or PySpark, data modelling techniques, database technologies, and SQL
- Confident communicator, able to explain technical concepts to non‑technical audiences and mentor junior colleagues
- For Senior Consultant roles: experience leading small development teams, tracking work, managing assignments, and supporting delivery capacity
About you
- Analytical, curious, and agile
- A strong team player and effective communicator
- Patient, quality driven problem solver
- Self‑motivated with an innovative mindset
Enjoy your career
Some of the best things about working at Avanade:
- Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times)
- Exceptional learning and development, including a minimum of 80 hours per year for training and paid certifications
- Real‑time access to global technical expertise and specialist communities
- Collaboration with some of the brightest Microsoft minds
- The chance to build deep expertise, solve meaningful problems, and continuously grow your career
At Avanade, you’ll gain distinctive experiences, limitless learning, and ambitious growth in return for your skills and ideas. As we continue to build a diverse and inclusive culture, we become more innovative and better equipped to serve our clients and communities. You’ll join a supportive community of collaborators who will mentor, challenge, and learn alongside you — in a company purpose‑built for business critical, leading edge technology solutions that improve how people work, interact, and live. We are committed to creating an inclusive culture with a deep sense of belonging for all our people.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Fabric Engineer — Enterprise Analytics & AI
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We think you need these skills to ace Senior Fabric Engineer — Enterprise Analytics & AI
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 Dormont Manufacturing Co, 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 Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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!
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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
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✨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.
