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- Tasks: Design and develop APIs and data pipelines for market intelligence products.
- Company: Leading data service provider in the UK with a focus on innovation.
- Benefits: Inclusive work environment, professional growth, and work-life balance.
- Why this job: Join a tech team to create scalable systems that make a real impact.
- Qualifications: Experience in Python and AWS with a track record in robust system development.
- Other info: Hybrid role offering flexibility and opportunities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading data service provider in the UK is seeking a Data Products Engineer to enhance their technology team. This hybrid role involves designing and developing APIs and data pipelines to support market intelligence products.
The ideal candidate has solid experience in Python and AWS, with a proven track record in creating robust and scalable systems.
Aon promotes an inclusive work environment, supporting professional growth and work-life balance.
Data Products Engineer - Scalable APIs & Pipelines employer: Aon
Contact Detail:
Aon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Products Engineer - Scalable APIs & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 APIs and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and AWS knowledge. Practice common technical questions and be ready to discuss your past experiences in detail. 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 ensure your application gets seen by the right people.
We think you need these skills to ace Data Products Engineer - Scalable APIs & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS. We want to see how you've built scalable systems in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about the Data Products Engineer role and how your skills align with our mission at StudySmarter.
Showcase Your Projects: If you've worked on any relevant projects, be sure to mention them! We love seeing real examples of your work, especially if they involve APIs or data pipelines.
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 the role!
How to prepare for a job interview at Aon
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've designed APIs or built data pipelines, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you overcame them. This is particularly important for a Data Products Engineer role, as it demonstrates your ability to create robust and scalable systems under pressure.
✨Understand the Company Culture
Research the company’s values and their commitment to inclusivity and professional growth. Be ready to discuss how you align with these values and how you can contribute to a positive work environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future goals of the technology team. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
