At a Glance
- Tasks: Design and optimise scalable data pipelines and ETL processes in a hybrid role.
- Company: Join QVC Group's innovative Advanced Analytics team.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Hands-on experience with cloud platforms like GCP, AWS, or Azure is essential.
- Why this job: Make an impact by collaborating with data scientists on exciting projects.
- Qualifications: Degree in CS/Engineering/Applied Math and strong Python/SQL skills required.
The predicted salary is between 50000 - 65000 £ per year.
QVC Group is seeking a Data Engineer to join the Advanced Analytics team in a hybrid role.
You will design, build and optimise scalable data pipelines and ETL/ELT processes, monitor data quality and platform performance, and support cloud data architecture and data modelling.
Collaboration with data scientists and stakeholders is essential.
Requires degree in CS/Engineering/Applied Math or equivalent, strong Python/SQL skills, and hands-on experience with cloud platforms (GCP/AWS/Azure),
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Cloud Data Engineer - ETL, Pipelines & ML (Hybrid UK) employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Engineer - ETL, Pipelines & ML (Hybrid UK)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Cloud Data Engineer - ETL, Pipelines & ML (Hybrid UK)
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 SwiftCruit, 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 SwiftCruit. 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 SwiftCruit
✨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 SwiftCruit!
✨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.
