At a Glance
- Tasks: Build and maintain scalable telemetry infrastructure using cutting-edge tools.
- Company: Join Farfetch, a leader in tech innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Be part of a dynamic team driving tech excellence.
- Why this job: Make a real impact by empowering teams with advanced telemetry solutions.
- Qualifications: Experience in Golang or Python and knowledge of telemetry systems.
The predicted salary is between 60000 - 80000 £ per year.
Farfetch is seeking an Observability Engineer to join the Tech Platform team in a role focused on building and maintaining telemetry infrastructure across Logs, Metrics, and Traces.
You will contribute to scalable data pipelines, storage solutions, and self-service tooling to empower engineering teams and business units.
You will work with Open Telemetry, Fluent Bit, Victoria Metrics, Grafana and Kubernetes, using Golang or Python to create exporters and automations.
#J-18808-Ljbffr
Observability Engineer: Build Scalable Telemetry Platform in Victoria employer: Farfetch
FARFETCH is an exceptional employer that values creativity and passion for luxury fashion, offering a vibrant work culture in the heart of Mayfair. As a Junior Personal Shopper, you will benefit from ongoing training and development opportunities, allowing you to enhance your skills while building meaningful relationships with clients. Join us to be part of a dynamic team that prioritises employee growth and delivers unparalleled client experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Observability Engineer: Build Scalable Telemetry Platform in Victoria
✨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 Farfetch!
✨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 Observability Engineer: Build Scalable Telemetry Platform at Farfetch.
✨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 Farfetch.
✨Apply Directly through Our Website
When you find a suitable opening like Observability Engineer: Build Scalable Telemetry Platform at Farfetch, 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 Observability Engineer: Build Scalable Telemetry Platform in Victoria
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 Farfetch, 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 Farfetch. 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 Farfetch
✨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 Farfetch!
✨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.