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- Tasks: Join a team to enhance user workflows with innovative data solutions.
- Company: Global data and AI platform with a focus on collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Why this job: Make an impact by leveraging machine learning in a dynamic environment.
- Qualifications: Degree in Computer Science and full-stack development experience required.
- Other info: Exciting career prospects in a cutting-edge tech landscape.
The predicted salary is between 36000 - 60000 £ per year.
A global data and AI platform is seeking a full stack Software Engineer to join their Feed & Workflow Intelligence team. This role involves collaborating with product, design, and engineering teams to deliver solutions that enhance user workflows.
Applicants should have:
- A degree in Computer Science
- Prior full-stack development experience
- Knowledge of Python, Java, or JavaScript frameworks
This position is based in Scotland, with a focus on leveraging machine learning for data onboarding.
Full-Stack AI-Driven Data Onboarding Engineer employer: Addepar
Contact Detail:
Addepar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack AI-Driven Data Onboarding Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. 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 Python, Java, or JavaScript frameworks. 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 your technical skills and understanding machine learning concepts. Practice common coding challenges and be ready to discuss how you've enhanced user workflows in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Full-Stack AI-Driven Data Onboarding Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your full-stack development experience in your application. We want to see how your skills in Python, Java, or JavaScript frameworks can contribute to our Feed & Workflow Intelligence team.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your background aligns with the role. We love seeing candidates who understand what we do and how they fit into our mission.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and how it relates to enhancing user workflows.
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’re considered for this exciting opportunity in Scotland!
How to prepare for a job interview at Addepar
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Java, and JavaScript frameworks. Brush up on your full-stack development skills and be ready to discuss specific projects where you've used these technologies. This will show that you can hit the ground running.
✨Understand Machine Learning Basics
Since this role focuses on leveraging machine learning for data onboarding, it’s crucial to have a solid understanding of the basics. Be prepared to talk about how you've applied machine learning concepts in past projects or how you would approach a problem using these techniques.
✨Collaborate Like a Pro
This position involves working closely with product, design, and engineering teams. Think of examples from your past experiences where you successfully collaborated across different teams. Highlight your communication skills and how you’ve contributed to enhancing user workflows.
✨Research the Company Culture
Before the interview, take some time to research the company’s culture and values. Understanding their mission and how they operate will help you tailor your answers and demonstrate that you’re a good fit for their team. Plus, it shows genuine interest!