At a Glance
- Tasks: Drive environmental data analytics by developing and presenting software solutions.
- Company: Join a forward-thinking company dedicated to sustainability and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative agile environment with potential for career advancement.
- Why this job: Make a real difference in the world while working with cutting-edge technologies.
- Qualifications: Bachelor's degree in Computer Science and strong software development skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a
Senior Full Stack Engineer to help drive forward our Environmental Data Analytics efforts.
Working as a part of the development team, the Senior Full Stack Engineer will help with all aspects of ingesting, analyzing and presenting the world’s environmental data.
- Software design, architecture, requirements analysis, investigation of new technologies, and software development.
- Collaborating with the core development team and the product owner to define and estimate business requirements and then translate these into specific software tasks.
- Hands on software development in various projects and languages
- Collaborate as a member of an agile team to get products developed and completed with best in class software development.
Skills and Qualifications
- Great communication skills.
- Deep end-to-end understanding of modern application architectures is required
- A Bachelor's degree in Computer Science or related field is required.
- Experience in web and internet technologies is required.
- Experience with Java frameworks such as Spring/Drop Wizard/etc. is required.
- Big picture orientation with strong attention to detail is required.
- Strong experience with object-oriented development is required.
- Experience with My SQL, Postgres SQL or equivalent RDBMS is required.
- Experience with source repositories (git/Bitbucket) required.
- Experience with RESTful API development and integration is required.
- Proficiency in unit and functional testing is required.
- Experience with functional programming is preferred.
- Experience with Big Data (Kafka, Hadoop, equivalent) is preferred.
- Experience with Kotlin, Django, Ro R, Flask, PHP etc. is preferred.
- Experience with React, Angular, Vue or similar framework is preferred.
- Experience leading teams is preferred.
- Experience with C#, Swift, and/or Android development is preferred.
Senior Full Stack Engineer in Cambridge employer: Roberts Recruiting
Join us as a Senior Full Stack Engineer and be part of a dynamic team dedicated to advancing Environmental Data Analytics. Our collaborative work culture fosters innovation and growth, offering you the chance to engage with cutting-edge technologies while contributing to meaningful projects that impact the environment. Located in a vibrant area, we provide excellent employee benefits, opportunities for professional development, and a supportive atmosphere that values your contributions.
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We think this is how you could land Senior Full Stack Engineer in Cambridge
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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 Roberts Recruiting.
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We think you need these skills to ace Senior Full Stack Engineer in Cambridge
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 Roberts Recruiting, 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 Roberts Recruiting. 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 Roberts Recruiting
✨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 Roberts Recruiting!
✨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.
