Hybrid Senior Full-Stack Engineer — Data Platforms & AI in London

Hybrid Senior Full-Stack Engineer — Data Platforms & AI in London

London Full-Time 85000 - 85000 € / year (est.) No home office possible
RSMB

At a Glance

  • Tasks: Design high-performance applications and collaborate with data science teams.
  • Company: RSMB, a forward-thinking company in London with a hybrid work model.
  • Benefits: Competitive salary up to £85,000, 25 days holiday, and private medical insurance.
  • Other info: Enjoy a flexible work environment with opportunities for professional growth.
  • Why this job: Join a dynamic team and work on innovative data platforms and AI projects.
  • Qualifications: 5–10 years of software engineering experience with skills in Python, SQL, Azure, and React.

The predicted salary is between 85000 - 85000 € per year.

RSMB is seeking a Senior Full Stack Engineer in London, working hybrid (2 days in the office). This full-time role offers a competitive salary of up to £85,000 per annum. The position involves designing high-performance applications and collaborating with data science teams.

Candidates should have 5–10 years of experience in software engineering, with strong skills in Python, SQL, Azure, and React.

The company offers 25 days holiday, private medical insurance, and more.

Hybrid Senior Full-Stack Engineer — Data Platforms & AI in London employer: RSMB

RSMB is an excellent employer that fosters a collaborative and innovative work culture, particularly for the Senior Full-Stack Engineer role in London. With a focus on employee growth, the company provides ample opportunities for professional development alongside competitive benefits such as 25 days of holiday and private medical insurance, making it a rewarding place to advance your career while working on cutting-edge data platforms and AI projects.

RSMB

Contact Detail:

RSMB Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Senior Full-Stack Engineer — Data Platforms & AI in London

Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with data platforms and AI. A friendly chat can lead to insider info about job openings or even a referral.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, Azure, and React. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common full-stack engineering questions and coding challenges. We recommend practicing with friends or using online platforms to simulate the interview experience.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Hybrid Senior Full-Stack Engineer — Data Platforms & AI in London

Python
SQL
Azure
React
Software Engineering
Application Design
Collaboration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, Azure, and React. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal.

Showcase Your Collaboration Skills:Since this role involves working closely with data science teams, mention any past experiences where you’ve collaborated effectively. We love seeing teamwork in action!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at RSMB

Know Your Tech Stack

Make sure you’re well-versed in Python, SQL, Azure, and React. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. We recommend preparing specific examples that showcase your skills and problem-solving abilities.

Showcase Collaboration Skills

Since this role involves working closely with data science teams, be prepared to talk about your experience collaborating with others. We suggest thinking of instances where you’ve successfully worked in a team setting, highlighting your communication skills and how you contributed to the project’s success.

Prepare for Technical Questions

Expect technical questions that assess your full-stack capabilities. We advise practising coding challenges or system design questions relevant to the role. This will help you feel more confident and demonstrate your problem-solving approach during the interview.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! We encourage you to inquire about the company culture, the team dynamics, and the projects you might be working on. This shows your genuine interest in the role and helps you determine if it’s the right fit for you.