At a Glance
- Tasks: Design and build a modern Azure-based data platform from scratch.
- Company: Join a forward-thinking recruitment firm in Manchester.
- Benefits: Competitive salary up to £90k, 10% bonus, extra holidays, and pension scheme.
- Other info: Opportunity for significant impact and career growth in a dynamic environment.
- Why this job: Lead an exciting greenfield project and shape the future of data management.
- Qualifications: Strong experience with the Microsoft data stack and independent working skills.
The predicted salary is between 90000 - 90000 £ per year.
Forward Role Recruitment is seeking a Data Platform Lead in Manchester to establish a modern Azure-based data platform. In this greenfield role, you will design and build the platform from scratch, ensuring it meets the company’s data needs effectively.
The position offers a competitive salary of up to £90k plus a 10% bonus, along with benefits such as extra holidays and a pension scheme.
Ideal candidates should have strong experience with the Microsoft data stack and be comfortable initially working alone.
Azure Data Platform Lead – Greenfield Build (Hybrid) in Manchester employer: Forward Role Recruitment
As an employer, Forward Role Recruitment offers a dynamic and innovative work environment in Manchester, where you will have the unique opportunity to lead the establishment of a cutting-edge Azure data platform from the ground up. With a strong focus on employee growth, competitive salaries, and generous benefits including extra holidays and a pension scheme, we foster a culture that values creativity and collaboration, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Platform Lead – Greenfield Build (Hybrid) in Manchester
✨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 Forward Role Recruitment!
✨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 Azure Data Platform Lead – Greenfield Build (Hybrid) at Forward Role Recruitment.
✨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 Forward Role Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Azure Data Platform Lead – Greenfield Build (Hybrid) at Forward Role Recruitment, 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 Azure Data Platform Lead – Greenfield Build (Hybrid) in Manchester
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 Forward Role Recruitment, 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 Forward Role Recruitment. 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 Forward Role Recruitment
✨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 Forward Role Recruitment!
✨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.
