Senior Full-Stack Engineer, AI & Data Platforms in Manchester

Senior Full-Stack Engineer, AI & Data Platforms in Manchester

Manchester Full-Time 50000 - 70000 € / year (est.) No home office possible
hackajob

At a Glance

  • Tasks: Create scalable AI solutions and solve complex data challenges.
  • Company: Join a forward-thinking tech company in Manchester.
  • Benefits: Competitive salary, skill development, and a vibrant work culture.
  • Other info: Dynamic environment with great opportunities for career growth.
  • Why this job: Be at the forefront of AI innovation and make a real difference.
  • Qualifications: Degree in Computer Science and strong analytical skills required.

The predicted salary is between 50000 - 70000 € per year.

hackajob is seeking a Full-Stack Engineer (Senior Specialist) to develop scalable AI-enabled solutions and tackle complex enterprise data problems. The role involves collaborating with cross-functional teams, designing both front-end and back-end applications, and experimenting with AI methodologies.

Candidates should possess a degree in relevant fields like Computer Science, alongside strong analytical, logical, and communication skills. This position is based in Manchester, UK, offering a dynamic environment for skill development.

Senior Full-Stack Engineer, AI & Data Platforms in Manchester employer: hackajob

At hackajob, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our Manchester location offers a vibrant atmosphere where employees can thrive, with ample opportunities for professional growth and skill enhancement in cutting-edge AI technologies. Join us to be part of a team that values creativity and encourages experimentation, making meaningful contributions to the future of data solutions.

hackajob

Contact Detail:

hackajob Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Full-Stack Engineer, AI & Data Platforms in Manchester

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and data platforms. This is your chance to demonstrate your full-stack prowess and make a lasting impression.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding AI methodologies. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.

We think you need these skills to ace Senior Full-Stack Engineer, AI & Data Platforms in Manchester

Full-Stack Development
AI Methodologies
Scalable Solutions
Front-End Development
Back-End Development
Analytical Skills
Logical Thinking

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with both front-end and back-end technologies. We want to see how you’ve tackled complex problems in the past, especially those involving AI and data solutions.

Tailor Your Application:Don’t just send a generic CV! We love it when candidates customise their applications to reflect the job description. Mention specific projects or experiences that align with the role of Senior Full-Stack Engineer.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit!

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 our team.

How to prepare for a job interview at hackajob

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your knowledge of both front-end and back-end frameworks, as well as any AI methodologies that might come up during the interview. Being able to discuss your experience with these tools will show that you're a strong fit for the role.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex data problems or developed scalable solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate your analytical and logical skills, which are crucial for this position.

Collaborate Like a Pro

Since the role involves working with cross-functional teams, be ready to talk about your collaboration experiences. Share instances where you’ve successfully worked with others to achieve a common goal, highlighting your communication skills and ability to adapt to different team dynamics.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the company’s approach to AI, or how they measure success in this role. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.