At a Glance
- Tasks: Join the Data Intelligence team to work on innovative projects and enhance data management.
- Company: Addepar, a forward-thinking company focused on collaboration and innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Exciting projects with a focus on automation and efficiency.
- Why this job: Make an impact in AI and data management while learning and growing your skills.
- Qualifications: Bachelor's degree in Computer Science and proficiency in Python required.
The predicted salary is between 28000 - 38000 £ per year.
Addepar is seeking a Junior Software Engineer for the Data Intelligence team in the UK. The role involves working on innovative projects like the Financial Data Lakehouse and contributing to automation and efficiency in data management.
Ideal candidates will have:
- A Bachelor's degree in Computer Science
- Proficiency in Python
- A willingness to learn
Addepar values collaboration and innovation, and is dedicated to creating a diverse work environment.
Junior Data Intelligence Engineer – AI & Lakehouse (ADX) in Basingstoke employer: Addepar
Contact Detail:
Addepar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Intelligence Engineer – AI & Lakehouse (ADX) in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Addepar. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or code samples, share them during interviews. It’s a great way to demonstrate your Python prowess and passion for data management.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common interview topics related to data intelligence and automation. We want you to feel confident and ready to impress.
✨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, it shows you’re serious about joining the team!
We think you need these skills to ace Junior Data Intelligence Engineer – AI & Lakehouse (ADX) in Basingstoke
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data and technology. Mention any projects or experiences that highlight your interest in data management and automation, especially if they relate to Python or similar tools.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Junior Data Intelligence Engineer role. Highlight relevant skills and experiences that align with the job description, like your proficiency in Python and any collaborative projects you've been part of.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your qualifications and experiences at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Addepar
✨Know Your Python
Brush up on your Python skills before the interview. Be ready to discuss your experience with Python and how you've used it in past projects. Consider preparing a small coding challenge or example to showcase your proficiency.
✨Understand Data Management Concepts
Familiarise yourself with data management principles, especially those related to lakehouses and automation. Being able to discuss these concepts will show your enthusiasm for the role and your understanding of the industry.
✨Show Your Collaborative Spirit
Addepar values collaboration, so be prepared to share examples of how you've worked effectively in teams. Highlight any experiences where you contributed to group projects or helped others succeed.
✨Embrace Innovation
Research Addepar's innovative projects and think about how you can contribute to them. Bring ideas to the table during the interview that demonstrate your willingness to learn and innovate within the Data Intelligence team.