At a Glance
- Tasks: Design and develop cutting-edge analytics solutions using Microsoft Fabric.
- Company: Join a globally recognised team at Avanade, leaders in Data & AI.
- Benefits: Competitive salary, professional development, and access to the latest technologies.
- Other info: Dynamic environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact by helping clients tackle complex business challenges.
- Qualifications: Passion for technology and experience with Microsoft Fabric and AI.
The predicted salary is between 36000 - 60000 £ 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. Come join us.
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. Together we do what matters.
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.
Fabric Engineer employer: Avanade Inc.
Avanade is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the AI Workforce Strategy & Growth Lead role in the UK. With a strong emphasis on employee growth and development, Avanade offers unique opportunities to shape AI-led propositions while collaborating closely with industry leaders like Microsoft. The company prioritises a supportive environment where your contributions directly impact market success, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Fabric Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Avanade Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Fabric Engineer at Avanade Inc..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Avanade Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Fabric Engineer at Avanade Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Fabric Engineer
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 Avanade Inc., 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 Avanade Inc.. 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 Avanade Inc.
✨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 Avanade Inc.!
✨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.
