Greenfield Data Platform Lead β€” Azure & Power BI in Manchester

Greenfield Data Platform Lead β€” Azure & Power BI in Manchester

Manchester Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
Interface Recruitment

At a Glance

  • Tasks: Design and build a scalable data platform using Azure & Power BI.
  • Company: Interface Recruitment, a forward-thinking company in Manchester.
  • Benefits: Permanent role with hybrid working, bonuses, and growth opportunities.
  • Other info: Opportunity for occasional travel and dynamic work environment.
  • Why this job: Lead innovative projects and make a significant impact in data analytics.
  • Qualifications: Experience in data platforms and strong collaboration skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Interface Recruitment in Manchester is seeking a Senior Data Platform Lead to design and build a scalable data platform from the ground up. This hands-on role requires crafting architecture, pipelines, and governance while collaborating with executives to align priorities and deliver value across reporting and analytics.

The position is permanent with hybrid working and occasional travel between offices, offering a bonus and growth opportunities.

Greenfield Data Platform Lead β€” Azure & Power BI in Manchester employer: Interface Recruitment

Join a dynamic managed services provider in York, where your role as an IT Support Engineer will be supported by a friendly and collaborative culture that prioritises employee growth. With fully funded training, structured development plans, and genuine progression opportunities, this company is dedicated to investing in your future while you contribute to meaningful projects within the education sector.

Interface Recruitment

Contact Details:

Interface Recruitment Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Greenfield Data Platform Lead β€” Azure & Power BI 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 Interface 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 Greenfield Data Platform Lead β€” Azure & Power BI at Interface 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 Interface Recruitment.

✨Apply Directly through Our Website

When you find a suitable opening like Greenfield Data Platform Lead β€” Azure & Power BI at Interface 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 Greenfield Data Platform Lead β€” Azure & Power BI in Manchester

Data Platform Design
Azure
Power BI
Architecture Development
Data Pipeline Construction
Data Governance
Collaboration with Executives

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 Interface 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 Interface 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 Interface 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 Interface 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.