At a Glance
- Tasks: Leverage cloud technologies to drive innovation and build data lakes and warehouses.
- Company: Join a Google Cloud Premier Partner with a focus on cloud strategy and big data.
- Benefits: Hybrid work model, continuous learning, training from Google, and networking opportunities.
- Other info: Be part of a diverse team that values innovation and career growth.
- Why this job: Make an impact by working on exciting projects with leading global brands.
- Qualifications: Experience with Big Data technologies and a passion for cloud solutions.
The predicted salary is between 60750 - 74250 £ per year.
Your passion for leveraging cloud technologies can lead to driving innovation.
Your experience working with Big Data technologies will be key to creating a new data lake, hub or warehouse.
In this role, you will act as a subject matter expert in GCP data technologies and work with stakeholders to determine complex data relationships and requirements.
You will also support the wider analytics/ML/assurance team and business by building and supporting ETL pipelines and processes.
This is with a Google Cloud Premier Partner that provides services in cloud strategy and migration, cloud hosting, big data, machine learning and many more to support business-critical applications.
They have a base location in Victoria and have adopted a hybrid stance of 2 days a week in the office with flexibility to the extent that some weeks there will be fewer days.
There is a great belief in continuous learning and career growth; you will receive all your training directly from Google and have the chance to attend their events and meetups.
Not to mention being part of a diverse and vibrant team surrounded by peers who share your passion for technology and innovation.
You will also have the opportunity to work on projects with some of the world's leading brands.
Get in touch for more information.
Cloud Data Engineer in London employer: LinuxRecruit
At LinuxRecruit, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of London. Our team-oriented environment encourages personal growth and development, allowing you to tackle real-world challenges while directly engaging with clients. With attractive compensation packages and a commitment to high trust and low ego, we offer a unique opportunity for meaningful and rewarding employment in the rapidly evolving field of AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer in London
✨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 LinuxRecruit!
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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 Cloud Data Engineer at LinuxRecruit.
✨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 LinuxRecruit.
✨Apply Directly through Our Website
When you find a suitable opening like Cloud Data Engineer at LinuxRecruit, 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 Cloud Data Engineer in London
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 LinuxRecruit, 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 LinuxRecruit. 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 LinuxRecruit
✨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 LinuxRecruit!
✨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.
