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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 with a supportive culture.
- Benefits: Enjoy flexible hybrid working, 25 days leave, competitive salary, and a pension.
- Other info: Great opportunities for career growth in a collaborative environment.
- Why this job: Make an impact in AI while working in a dynamic and inclusive team.
- Qualifications: Strong skills in Python, SQL, and experience with cloud platforms like Azure.
The predicted salary is between 50000 - 65000 £ 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 or former employees at Kantar on LinkedIn. A friendly chat can give us insider info 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 help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data engineering interview questions. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what Kantar is looking for.
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!
Be Problem-Solving Savvy: Since this role is all about building and optimising data pipelines, share examples of how you've tackled challenges in the past. We love a good problem-solving story!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Engineer role. We appreciate when candidates take the time to connect their experiences to our needs.
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. Plus, it’s super easy!
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, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering problems in the past. Kantar is looking for someone who can think critically and find innovative solutions, so be ready to share your thought process.
✨Familiarise Yourself with Cloud Platforms
Since experience with Azure is a key requirement, make sure you understand its features and benefits. If you've worked with cloud platforms before, be prepared to discuss how you've leveraged them to optimise data pipelines.
✨Emphasise Team Collaboration
Kantar values a supportive and inclusive work environment, so highlight your experience working in agile teams. Share how you've contributed to team success and how you handle feedback and collaboration.