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- Tasks: Build and maintain data pipelines while enhancing customer analytics.
- Company: Leading international art services business in Greater London.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Join a creative team and make an impact in the art world through data.
- Qualifications: Strong Python and SQL skills, Master's degree, and 2-3 years of relevant experience.
- Other info: Support diverse data initiatives and ensure data quality across exciting projects.
The predicted salary is between 40000 - 50000 £ per year.
A leading international art services business in Greater London is seeking a Software Engineer to join their Data team. This role involves building and maintaining data pipelines and internal tools while contributing to customer analytics.
The ideal candidate should have strong Python and SQL skills, a Master's degree, and 2-3 years of experience related to data or software engineering. They will work in a collaborative environment, supporting diverse data initiatives and ensuring data quality across projects.
Data Engineer: Customer Analytics & Data Pipelines employer: HENI
Contact Detail:
HENI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Customer Analytics & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 data pipelines and analytics projects. This is a great way to demonstrate your Python and SQL expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Practice explaining your past projects and how you've contributed to customer analytics. Confidence is key!
✨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 Data Engineer: Customer Analytics & Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as any relevant experience in data or software engineering. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how you can contribute to our customer analytics and data pipelines. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any projects related to data pipelines or customer analytics, make sure to mention them! We’re interested in seeing how you’ve applied your skills in real-world scenarios, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at HENI
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built or maintained data pipelines, as well as any internal tools you've developed. This will show that you have the hands-on experience they're looking for.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've contributed to customer analytics in previous roles. Think of examples where your work directly impacted decision-making or improved data quality. This will demonstrate your ability to think critically and add value to their data initiatives.
✨Emphasise Collaboration
Since this role involves working in a collaborative environment, be ready to share experiences where you've successfully worked with diverse teams. Highlight your communication skills and how you’ve supported others in achieving project goals, as teamwork is key in this position.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data initiatives and the specific challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute effectively. Plus, it gives you a chance to assess if the company culture aligns with your values.