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- Tasks: Build and optimise data pipelines for cutting-edge AI-driven products.
- Company: Join Kantar, a leader in data-driven insights and innovation.
- Benefits: Enjoy flexible hybrid working, 25 days leave, and a competitive salary.
- Other info: Be part of an inclusive environment with great career growth opportunities.
- Why this job: Make an impact in a supportive team while working with advanced technologies.
- Qualifications: Strong problem-solving skills, proficiency in Python and SQL, and cloud experience.
The predicted salary is between 60000 - 75000 £ per year.
Kantar is seeking a Senior Data Engineer to join a small, agile team in Reading, UK, focused on building and optimising data pipelines for AI-driven products. The role requires strong problem-solving skills, confidence in Python and SQL, and experience with cloud platforms like Azure.
Benefits include:
- Flexible hybrid working
- 25 days leave
- Competitive salary
- Company pension
- Enhanced parental leave
Join Kantar in creating a supportive and inclusive work environment.
Senior Data Engineer for AI‐Driven Digital Twins in Reading employer: myGwork - LGBTQ+ Business Community
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer for AI‐Driven Digital Twins in Reading
✨Tip Number 1
Network like a pro! Reach out to current employees at Kantar on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with Python, SQL, and cloud platforms. This will not only impress but also demonstrate your hands-on abilities.
✨Tip Number 3
Be ready for the interview! Research Kantar’s AI-driven products and think about how your experience aligns with their goals. We want to see you connect the dots between your skills and what they need.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have insider tips and updates on new roles that might suit you perfectly.
We think you need these skills to ace Senior Data Engineer for AI‐Driven Digital Twins in Reading
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and cloud platforms like Azure in your application. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior Data Engineer role. This shows us you’re genuinely interested in joining our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out!
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 any important updates from us!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, and think about how you optimised data pipelines in those scenarios.
✨Cloud Knowledge is Key
Since Kantar is looking for experience with cloud platforms like Azure, it’s crucial to familiarise yourself with its features. Prepare to talk about any relevant projects you've worked on in the cloud and how you tackled challenges related to data storage and processing.
✨Problem-Solving Scenarios
Kantar values strong problem-solving skills, so be prepared to share examples of how you've approached complex data issues in the past. Think of a few scenarios where you identified a problem, your thought process, and the solution you implemented.
✨Cultural Fit Matters
Kantar promotes a supportive and inclusive work environment, so show your personality! Be ready to discuss how you contribute to team dynamics and support your colleagues, as well as how you align with their values.