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- Tasks: Design and maintain data pipelines while ensuring top-notch data quality.
- Company: Join Next, a leading eCommerce brand with a focus on innovation.
- Benefits: Enjoy a competitive salary, excellent benefits, and a supportive work environment.
- Other info: Great opportunity for career growth in a dynamic team.
- Why this job: Make an impact in the eCommerce space by working with cutting-edge data technologies.
- Qualifications: Strong skills in Python, Spark, SQL, and data engineering principles required.
The predicted salary is between 64000 - 79000 £ per year.
Next is looking for a Lead Data Engineer to join their eCommerce Data team based at the Leicestershire Head Office. The successful candidate will design, develop, and maintain data pipelines and ETL processes while ensuring data quality and working closely with data scientists.
Required skills include:
- Strong Python
- Spark
- SQL knowledge
- Solid understanding of data engineering principles
The salary ranges from £64,000 to £79,000 with excellent benefits.
Lead Data Engineer - Scalable Pipelines & Data Quality in Leicester employer: Next
Contact Detail:
Next Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Scalable Pipelines & Data Quality in Leicester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Next on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and ETL processes. We want to see your Python, Spark, and SQL magic in action!
✨Tip Number 3
Ace the interview! Brush up on data engineering principles and be ready to discuss how you ensure data quality. We need to see your problem-solving skills shine!
✨Tip Number 4
Apply through our website! It’s the best way to get noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Lead Data Engineer - Scalable Pipelines & Data Quality in Leicester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python, Spark, and SQL skills in your application. We want to see how you’ve used these technologies in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for the Lead Data Engineer role. Mention specific projects or experiences that relate to designing and maintaining data pipelines, as this will show us you’re the right fit for our eCommerce Data team.
Keep It Clear and Concise: While we love a good story, make sure your application is clear and to the point. Use bullet points where possible to make it easy for us to see your qualifications and experience at a glance.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly with us!
How to prepare for a job interview at Next
✨Know Your Tech Inside Out
Make sure you brush up on your Python, Spark, and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Experience
Prepare to talk about your experience designing and maintaining data pipelines and ETL processes. Have examples ready that demonstrate your understanding of data engineering principles and how you've ensured data quality in your previous roles.
✨Collaborate Like a Pro
Since you'll be working closely with data scientists, think of examples that highlight your teamwork skills. Be ready to discuss how you've collaborated on projects, resolved conflicts, or contributed to a team’s success in delivering data solutions.
✨Ask Insightful Questions
Prepare some thoughtful questions about the eCommerce Data team and their current projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.