At a Glance
- Tasks: Build data pipelines and tools for exploration data with geologists and data scientists.
- Company: Join KoBold Metals, a mission-driven team in the tech and mining industry.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Own projects end-to-end in a collaborative and dynamic environment.
- Why this job: Make a real impact by enabling data access for exploration and innovation.
- Qualifications: Experience in Python, React, and scalable cloud infrastructure.
The predicted salary is between 45000 - 55000 £ per year.
Ko Bold Metals is hiring a Software Engineer to join its Data Systems Engineering team in a remote UK position.
You will work with geologists and data scientists to build data pipelines and tooling, enabling exploration data to be accessed by humans and machines.
The role emphasizes production-grade Python, React-based frontends, and scalable cloud infrastructure.
You will own projects end-to-end, engage in field-aligned collaboration, and contribute to a mission-driven team focused on mineral
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Remote Data Systems Engineer (UK) employer: Far Coder
Far Coder is an excellent employer that fosters a diverse and innovative work culture, providing employees with the opportunity to lead cutting-edge projects in cloud technology. With competitive salaries and bonuses, along with a strong emphasis on professional growth and development, this remote position allows for a flexible work-life balance while contributing to meaningful and impactful software solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Systems Engineer (UK)
✨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 Far Coder!
✨Show Off Your Projects
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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 Far Coder.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Data Systems Engineer (UK) at Far Coder, 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 Remote Data Systems Engineer (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 Far Coder, 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 Far Coder. 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 Far Coder
✨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 Far Coder!
✨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.
