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- Tasks: Design and build data pipelines using Azure and PySpark for top-tier companies.
- Company: Strategic AI partner to Fortune 500 companies, based in London.
- Benefits: Dynamic work environment with opportunities for collaboration and growth.
- Why this job: Join a passionate team and make an impact in the CPG domain.
- Qualifications: Experience in data engineering, Azure, and CPG domain required.
- Other info: Hands-on role focused on debugging and optimizing data processes.
The predicted salary is between 60000 - 80000 £ per year.
A strategic AI partner to Fortune 500 companies seeks an accomplished Senior Data Engineer to design and build data pipelines using Azure and PySpark. The ideal candidate will have experience in the CPG domain and be hands-on with debugging and optimization of data processes.
Responsibilities include:
- Collaborating across teams
- Providing technical guidance
- Ensuring data quality
The position is based in London and offers a dynamic work environment for passionate individuals.
Senior Data Engineer - Azure for CPG Domain employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Azure for CPG Domain
✨Tip Number 1
Network like a pro! Reach out to folks in the CPG domain or those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects using Azure and PySpark, make sure to highlight them during interviews. Real-world examples of your work can really impress hiring managers.
✨Tip Number 3
Prepare for technical questions! Brush up on debugging and optimisation techniques, as these are key in the role. Practising common scenarios can help you feel more confident when it comes to showcasing your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer - Azure for CPG Domain
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and PySpark, especially in the CPG domain. We want to see how your skills align with what we’re looking for!
Showcase Your Projects: Include specific examples of data pipelines you've designed or optimised. We love seeing hands-on experience, so don’t hold back on the details!
Be Clear and Concise: When writing your cover letter, get straight to the point. We appreciate clarity, so make sure you communicate your passion for data engineering and collaboration effectively.
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 out on any updates!
How to prepare for a job interview at Fractal
✨Know Your Azure Inside Out
Make sure you brush up on your Azure skills before the interview. Be ready to discuss specific projects where you've designed and built data pipelines using Azure, and don't forget to highlight your experience with PySpark. The more detailed examples you can provide, the better!
✨Showcase Your CPG Experience
Since the role is focused on the CPG domain, prepare to talk about your previous work in this area. Think of challenges you've faced and how you overcame them, as well as any insights you've gained that could be valuable to the company. This will show that you understand the industry and can hit the ground running.
✨Collaboration is Key
This position involves working across teams, so be ready to discuss your collaboration skills. Share examples of how you've worked with different departments or stakeholders to achieve a common goal. Highlighting your ability to provide technical guidance will also demonstrate your leadership potential.
✨Emphasise Data Quality and Optimisation
Data quality is crucial in this role, so come prepared to discuss your approach to ensuring data integrity. Talk about your debugging and optimisation techniques, and be ready to share specific instances where you've improved data processes. This will show that you're not just technically skilled, but also detail-oriented.