Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement solutions for big data processing in a retail eCommerce platform.
- Company: Leading technology consulting firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team making a real impact on modernising eCommerce through data analytics.
- Qualifications: 8+ years of experience with Azure Data Factory, Synapse, data modelling, and ETL processes.
- Other info: Exciting projects with potential for career advancement in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology consulting firm in the United Kingdom is seeking an experienced Data Engineer for the modernization of a retail eCommerce platform. You will design solutions to support big data processing while integrating with the current architecture.
The ideal candidate will have over 8 years of experience, particularly with Azure Data Factory and Synapse, along with skills in data modeling and ETL processes. This position presents a great opportunity to work on impactful data projects.
Lead Data Engineer — Cloud Data & Analytics (Azure) employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer — Cloud Data & Analytics (Azure)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or in data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Azure Data Factory and Synapse. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising your answers with a friend or using mock interview platforms to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Engineer — Cloud Data & Analytics (Azure)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory and Synapse. We want to see how your skills in data modelling and ETL processes align with the role, 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 modernising eCommerce platforms and how your background makes you the perfect fit for this position. We love seeing enthusiasm!
Showcase Your Impact: When detailing your past experiences, focus on the impact of your work. We’re interested in how your contributions have improved processes or outcomes in previous roles, especially in big data processing.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Luxoft
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Data Factory and Synapse skills. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've designed solutions for big data processing in the past. Think of examples that highlight your ability to integrate new solutions with existing architectures, as this is crucial for the role.
✨Master Data Modelling and ETL Processes
Since data modelling and ETL are key components of the job, be prepared to explain your approach to these processes. Bring examples of how you've optimised ETL workflows or improved data models in previous roles.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current data architecture and future projects. This shows your genuine interest and helps you assess if the company is the right fit for you.