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- Tasks: Build end-to-end data pipelines using PySpark and Databricks on Azure.
- Company: Strategic AI partner for Fortune 500 companies with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the CPG industry with cutting-edge technology.
- Qualifications: Expertise in data engineering and experience in the Consumer Packaged Goods domain.
- Other info: Collaborative environment with a focus on high-quality data solutions.
The predicted salary is between 60000 - 80000 £ per year.
A strategic AI partner to Fortune 500 companies is looking for a Data Engineer expert in building end-to-end data pipelines. You will work with PySpark and Databricks within Azure Data Platform, while having mandatory experience in the Consumer Packaged Goods (CPG) domain.
This role involves providing technical guidance to a data engineering team, ensuring high-quality and reliable data solutions, and engaging with stakeholders to translate data needs into technical solutions.
CPG Data Architect — Azure Data Platform & Pipelines employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CPG Data Architect — Azure Data Platform & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the CPG industry and connect with data engineers on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with PySpark and Databricks. Having tangible examples of your expertise can really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've tackled data challenges in the CPG space. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills, so take advantage of it and get your application in.
We think you need these skills to ace CPG Data Architect — Azure Data Platform & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Platform and PySpark. We want to see how your skills align with the CPG domain, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Let us know how you can contribute to building reliable data solutions.
Showcase Your Technical Skills: When filling out your application, be specific about your technical expertise. Mention any experience with Databricks and end-to-end data pipelines. We love seeing concrete examples of your work!
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 our team. We can’t wait to hear from you!
How to prepare for a job interview at Fractal
✨Know Your Tech Inside Out
Make sure you’re well-versed in PySpark and Databricks, as these are crucial for the role. Brush up on your Azure Data Platform knowledge too, and be ready to discuss how you've used these technologies to build end-to-end data pipelines in your previous projects.
✨Showcase Your CPG Experience
Since experience in the Consumer Packaged Goods domain is mandatory, prepare specific examples of how you've tackled data challenges in this field. Highlight any projects where you’ve provided technical guidance or collaborated with stakeholders to meet their data needs.
✨Engage with Stakeholders
Demonstrate your ability to translate complex data requirements into actionable solutions. Think of instances where you’ve successfully communicated with non-technical stakeholders and how you ensured their needs were met through your data solutions.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when faced with data-related challenges, especially those relevant to the CPG sector. This will show your analytical skills and your approach to ensuring high-quality data solutions.