At a Glance
- Tasks: Build and maintain cloud-native platform components on AWS using Python and Terraform.
- Company: Join Uniting Ambition, a forward-thinking tech company in London.
- Benefits: Competitive salary of £100,000 - £120,000 and flexible working arrangements.
- Other info: Work 2 to 3 days a week in the office for dynamic collaboration.
- Why this job: Tackle complex challenges and enhance platform capabilities while making a real impact.
- Qualifications: Strong hands-on experience with AWS, Terraform, and Python required.
The predicted salary is between 100000 - 120000 £ per year.
Uniting Ambition is seeking a Senior Data Platform Engineer to build and maintain cloud-native platform components on AWS. This role requires strong hands-on experience with AWS and Terraform, along with expertise in Python. You will work closely with engineering teams to tackle complex technical challenges, enhance platform capabilities, and support data products.
The position is based in London, requiring 2 to 3 days per week in the office, with a salary of £100,000 - £120,000 per year.
Senior Cloud Platform Engineer — AWS, Kafka & Python employer: Uniting Ambition
Uniting Ambition is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the tech industry. With a focus on employee growth, we offer ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like AWS and Python. Located in the vibrant city of London, our office environment encourages teamwork and creativity, making it an ideal place for talented individuals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Platform Engineer — AWS, Kafka & Python
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Senior Cloud Platform Engineer — AWS, Kafka & Python at Uniting Ambition, 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 Cloud Platform Engineer — AWS, Kafka & Python
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 Uniting Ambition, 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 Uniting Ambition. 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 Uniting Ambition
✨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!
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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 Uniting Ambition!
✨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.