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- Tasks: Design and develop scalable data pipelines for retail analytics using Databricks and PySpark.
- Company: Leading technology consulting firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and enhance product visibility through impactful data management.
- Qualifications: Strong programming skills in Python and experience with Databricks and SQL.
- Other info: Exciting projects in a collaborative environment with great career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A technology consulting firm in the United Kingdom is seeking an experienced Data Engineer to join the Shelf Analytics project. The role involves designing, developing, and maintaining scalable data pipelines and workflows using Databricks and PySpark.
Candidates should have strong programming skills in Python, hands-on experience with Databricks, and solid knowledge of SQL. This position aims to enhance product visibility through effective data management and analytics, primarily in a retail setting.
Data Engineer - Shelf Analytics & Insights employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Shelf Analytics & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks and PySpark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss your past experiences in detail.
✨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 get noticed by our hiring team.
We think you need these skills to ace Data Engineer - Shelf Analytics & Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any hands-on experience you have with Databricks and PySpark. We want to see how your expertise aligns with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Data Engineer position. Mention your experience with SQL and how it relates to enhancing product visibility in a retail setting. We love seeing candidates who take the time to connect their background to our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Luxoft
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, PySpark, and SQL. Brush up on your Python skills too! Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you tackled them. Use examples that highlight your ability to design and maintain scalable data pipelines, especially in a retail context.
✨Understand the Business Impact
Research the company’s role in the retail sector and think about how effective data management can enhance product visibility. Be prepared to discuss how your work as a Data Engineer can directly contribute to their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the Shelf Analytics project and the team dynamics. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
