At a Glance
- Tasks: Design scalable ETL pipelines and implement robust API integrations.
- Company: Woven, an innovative seed-stage fintech with a focus on data.
- Benefits: Remote work, competitive salary of £50,000–£70,000, and career growth opportunities.
- Other info: Join a collaborative team and make a real impact in fintech.
- Why this job: Shape the platform’s data infrastructure in a dynamic, data-driven environment.
- Qualifications: Experience in full-stack development and strong data focus required.
The predicted salary is between 50000 - 70000 £ per year.
Woven, a seed-stage fintech, is seeking an experienced data-focused full stack developer.
You will work across the stack—from Vue front end to microservices and APIs—owning architecture and fast iteration in a dynamic, data-driven environment.
The role is remote within the UK, with a salary of £50,000–£70,000 per year and the opportunity to shape the platform’s data infrastructure and integration layer.
- You’ll design scalable ETL pipelines, implement robust API integrations, and collaborate
- #J-18808-Ljbffr
Senior Full-Stack Data & API Engineer (Remote) employer: Fire Protection Online Ltd
Fire Protection Online Ltd is an excellent employer, offering a supportive work environment in the heart of Canterbury where creativity and innovation thrive. Employees benefit from comprehensive health cover, a pension scheme, and ample opportunities for professional growth, making it an ideal place for those looking to develop their skills in web programming while contributing to meaningful projects.
Contact Details:
Fire Protection Online Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full-Stack Data & API Engineer (Remote)
✨Get Involved in Data Science Meetups
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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 Fire Protection Online Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Full-Stack Data & API Engineer (Remote) at Fire Protection Online Ltd, 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 Full-Stack Data & API Engineer (Remote)
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 Fire Protection Online Ltd, 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 Fire Protection Online Ltd. 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 Fire Protection Online Ltd
✨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 Fire Protection Online Ltd!
✨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.
