At a Glance
- Tasks: Design and build data solutions using Microsoft Fabric while optimising data pipelines.
- Company: Join a dynamic data and analytics team in Milton Keynes with a hybrid work model.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborate with stakeholders in a fast-paced environment focused on innovation.
- Why this job: Make an impact by delivering scalable data solutions that drive business success.
- Qualifications: 2+ years of Microsoft Fabric experience and strong SQL skills required.
The predicted salary is between 45000 - 55000 £ per year.
We are looking for a Microsoft Fabric Data Engineer with at least 2 years of hands-on Microsoft Fabric experience to join our data and analytics team based in Milton Keynes. This is a hybrid role.
Key Responsibilities:
- Design, build, and maintain data solutions using Microsoft Fabric.
- Develop and optimise data pipelines, Lakehouses, and Data Warehouses.
- Create and maintain dimensional data models and semantic models.
- Support Power BI reporting and analytics requirements.
- Ensure data quality, performance, security, and governance.
- Collaborate with business stakeholders to deliver scalable data solutions.
Required Skills:
- Minimum 2 years' experience working with Microsoft Fabric.
- Strong experience in data modelling (Star Schema, dimensional modelling).
- Strong SQL skills and experience with data warehousing concepts.
- Experience with Power BI and semantic models.
- Knowledge of ETL/ELT processes and modern cloud data platforms.
- Experience with Azure data services is desirable.
Microsoft Fabric Data Engineer in Milton Keynes employer: Interact Consulting
Join our dynamic team in Milton Keynes as a Microsoft Fabric Data Engineer, where we prioritise innovation and collaboration. We offer a supportive work culture that fosters professional growth through continuous learning opportunities and mentorship. Enjoy the flexibility of a hybrid work model, competitive benefits, and the chance to make a meaningful impact on our data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Microsoft Fabric Data Engineer in Milton Keynes
✨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 Interact Consulting!
✨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 Microsoft Fabric Data Engineer at Interact Consulting.
✨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 Interact Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like Microsoft Fabric Data Engineer at Interact Consulting, 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 Microsoft Fabric Data Engineer in Milton Keynes
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 Interact Consulting, 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 Interact Consulting. 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 Interact Consulting
✨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 Interact Consulting!
✨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.
