At a Glance
- Tasks: Lead the optimisation of data platforms and support audience personalisation.
- Company: Join the BBC Group in Glasgow, a leader in media innovation.
- Benefits: Enjoy flexible working hours and a competitive salary package.
- Other info: Collaborate with stakeholders to drive technical vision.
- Why this job: Shape the future of data platforms and make a real impact.
- Qualifications: Extensive experience in DevOps/DataOps and strong AWS skills.
The predicted salary is between 60000 - 80000 £ per year.
BBC Group and Public Services in Glasgow is seeking a candidate to lead the optimisation and evolution of its data platforms. The role involves supporting audience personalisation and collaborating with stakeholders to shape the technical vision.
The successful candidate will have extensive experience in DevOps/DataOps, a strong grasp of AWS services, and a proven record in creating secure cloud environments.
Benefits include flexible working hours and a competitive salary package.
Senior Data Platform Engineer - Cloud & DevOps in Glasgow employer: BBC Group and Public Services
At BBC Group and Public Services in Glasgow, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. As a Senior Data Platform Engineer, you will not only enjoy flexible working hours and a competitive salary package but also have ample opportunities for professional growth and development within a leading organisation dedicated to audience engagement and technological advancement.
Contact Details:
BBC Group and Public Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - Cloud & DevOps in Glasgow
✨Get Involved in Data Science Meetups
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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 BBC Group and Public Services.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Platform Engineer - Cloud & DevOps at BBC Group and Public Services, 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 Senior Data Platform Engineer - Cloud & DevOps in Glasgow
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 BBC Group and Public Services, 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 BBC Group and Public Services. 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 BBC Group and Public Services
✨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 BBC Group and Public Services!
✨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.
