At a Glance
- Tasks: Lead the development of a Microsoft Fabric-based data platform for analytics and reporting.
- Company: North East Scotland College, committed to data transformation and innovation.
- Benefits: Competitive salary, flexible work locations, and opportunities for professional growth.
- Why this job: Shape the future of data services and make a real impact in education.
- Qualifications: Experience in data engineering and a passion for data governance.
The predicted salary is between 53351 - 55050 £ per year.
North East Scotland College is looking for a Senior Data Engineer to lead their data transformation initiative. This role involves building a Microsoft Fabric-based data platform that supports analytics and reporting across the College. The successful candidate will shape the development of data services and ensure the implementation of best practices in data governance.
With a salary range of £51,533.51 - £55,050.10 per annum, the position is primarily based at the Aberdeen City Campus, with opportunities to work across various locations. Applications close on 31 July 2026.
Lead Data Engineer: Microsoft Fabric & Analytics Platform employer: North East Scotland College
North East Scotland College is an exceptional employer that prioritises innovation and professional growth, particularly in the realm of data engineering. With a collaborative work culture and a commitment to best practices in data governance, employees are empowered to lead transformative projects while enjoying competitive salaries and flexible working arrangements across various locations. This role not only offers the chance to shape the future of data services but also provides ample opportunities for career advancement within a supportive educational environment.
Contact Details:
North East Scotland College Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer: Microsoft Fabric & Analytics Platform
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Lead Data Engineer: Microsoft Fabric & Analytics Platform at North East Scotland College, 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 Lead Data Engineer: Microsoft Fabric & Analytics Platform
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 North East Scotland College, 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 North East Scotland College. 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 North East Scotland College
✨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
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 North East Scotland College!
✨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.
