At a Glance
- Tasks: Design and build scalable data platforms for real-time analytics and machine learning.
- Company: Join a leading tech firm in London with a focus on innovation.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge technology.
- Other info: Dynamic work environment with opportunities for professional development.
- Why this job: Make an impact by optimising data systems and collaborating with talented teams.
- Qualifications: Experience with cloud platforms, data processing frameworks, and strong SQL/Python skills.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a Cloud Data Platform Engineer with strong experience in real-time data processing and analytics platforms to join our client’s on-site team in London. This role focuses on designing and scaling data platforms that support analytics, streaming, and machine learning workloads.
- Design and build scalable data platforms for batch and real-time processing
- Develop data pipelines for ingestion, transformation, and storage
- Implement streaming architectures for real-time analytics
- Optimise performance and reliability of data systems
- Collaborate with data scientists and engineers to support ML workloads
- Ensure data quality, governance, and security
- Monitor and maintain production data systems
Required Skills & Experience
- Strong experience with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure
- Experience with data processing frameworks (e.g. Spark)
- Knowledge of streaming platforms (e.g. Kafka or equivalent)
- Strong SQL and Python skills
- Experience building scalable data pipelines
Nice to Have
- Experience with data warehouses and lakehouse architectures
- Familiarity with ML data pipelines
- Knowledge of orchestration tools (Airflow or similar)
Cloud Data Platform Engineer – Analytics & Streaming employer: Talenzon group
Join a forward-thinking EdTech company in London that prioritises innovation and employee development. As an AI Learning Experience Engineer, you'll thrive in a collaborative work culture that values creativity and offers ample opportunities for professional growth. With a focus on cutting-edge technology and a commitment to responsible AI practices, this role provides a meaningful chance to impact the future of education.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Platform Engineer – Analytics & Streaming
✨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 Talenzon group!
✨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 Cloud Data Platform Engineer – Analytics & Streaming at Talenzon group.
✨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 Talenzon group.
✨Apply Directly through Our Website
When you find a suitable opening like Cloud Data Platform Engineer – Analytics & Streaming at Talenzon group, 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 Platform Engineer – Analytics & Streaming
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 Talenzon group, 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 Talenzon group. 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 Talenzon group
✨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 Talenzon group!
✨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.
