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For Companies At a Glance
- Tasks: Build tools, apps, and APIs to drive data-driven decisions.
- Company: Join a growing business focused on advanced analytics and R&D.
- Benefits: Enjoy hybrid work options and opportunities for career progression.
- Why this job: Make an impact while collaborating with talented data professionals.
- Qualifications: Strong JavaScript skills and experience in API development required.
- Other info: Explore diverse career paths in a dynamic tech environment.
The predicted salary is between 28800 - 48000 £ per year.
We are on the hunt for a hybrid Software Engineer with a strong foundation in data and analytics, ready to work at the cutting edge of R&D and help shape the future of our Advanced Analytics function. In this role, you will build tools, apps, and APIs that empower teams across the business to succeed with their tech and analytics goals. You will have a direct hand in developing innovative solutions and enabling data-driven decision making at scale.
What you will need:
- Strong JavaScript (front-end/web development)
- Proven experience in API development
- Solid skills in Azure and SQL
Explore diverse career paths, collaborate with data scientists, analysts, and engineers, and make an impact across domains. This growing business is offering great career progression and technical freedom!
Software Engineer employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data and analytics, especially focusing on JavaScript frameworks and API development. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage with the tech community by attending meetups or webinars related to Azure and SQL. Networking can lead to valuable connections and insights that may give you an edge in the application process.
✨Tip Number 3
Consider building a small project or contributing to open-source projects that showcase your skills in JavaScript and API development. Having a tangible example of your work can make a strong impression during discussions.
✨Tip Number 4
Prepare to discuss how you've used data-driven decision-making in past roles. Be ready to share specific examples that highlight your problem-solving skills and ability to collaborate with cross-functional teams.
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with JavaScript, API development, Azure, and SQL. Use specific examples of projects where you've successfully applied these skills to demonstrate your suitability for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Advanced Analytics team and explain how your background in data and analytics aligns with their goals. Mention any relevant projects or experiences that showcase your ability to develop innovative solutions.
Showcase Your Technical Skills: If possible, include links to your GitHub or portfolio where you have showcased your work related to software engineering, particularly in data and analytics. This can help illustrate your hands-on experience and technical capabilities.
Prepare for Technical Questions: Anticipate technical questions related to JavaScript, API development, and database management during the interview process. Brush up on common algorithms and data structures, as well as any relevant frameworks or tools you’ve used in your previous roles.
How to prepare for a job interview at KDR Talent Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with JavaScript, API development, Azure, and SQL. Bring examples of projects you've worked on that demonstrate your proficiency in these areas, as practical knowledge is crucial for this role.
✨Understand the Company’s Analytics Goals
Research the company's Advanced Analytics function and be ready to discuss how your skills can contribute to their objectives. Showing that you understand their mission will set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or scenarios related to data and analytics, as this will help you think on your feet during the interview.
✨Demonstrate Collaboration Skills
Since the role involves working with data scientists, analysts, and engineers, be ready to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex ideas clearly and work effectively in a team.
