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- Tasks: Lead data engineering projects and design scalable data architectures.
- Company: One of the UK's top tech and cloud services providers.
- Benefits: Flexible hybrid working, competitive salary, and career development opportunities.
- Other info: Join a forward-thinking team with a focus on innovation.
- Why this job: Shape the future of data engineering with cutting-edge technology.
- Qualifications: Proven experience in data engineering and leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
We are recruiting for an experienced Data Engineering Lead, working for one of the UK's leading technology and cloud services providers, as they continue to invest in a modern, scalable Microsoft Fabric data platform.
This role owns the end-to-end data engineering architecture - from ingestion and lakehouse design.
Locations
Data Engineering - Team Lead in Lincolnshire, Newark employer: ECS
Contact Detail:
ECS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering - Team Lead in Lincolnshire, Newark
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to data architecture and Microsoft Fabric. 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 scenarios. Think about how you would approach challenges like ingestion and lakehouse design, and be ready to discuss your thought process with confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineering - Team Lead in Lincolnshire, Newark
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Lead role. Highlight your experience with data architecture, ingestion processes, and any relevant technologies like Microsoft Fabric. We want to see how your skills align with what we're looking for!
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 leadership experience can benefit our team. We love seeing genuine enthusiasm for the role!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a lakehouse design or a data ingestion pipeline, we want to know what you've accomplished and how it relates to the position.
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at ECS
✨Know Your Data Engineering Fundamentals
Make sure you brush up on your data engineering principles, especially around Microsoft Fabric and lakehouse design. Be ready to discuss how you've applied these concepts in past projects, as this will show your depth of knowledge and experience.
✨Showcase Your Leadership Skills
As a Team Lead, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've managed teams, resolved conflicts, or mentored junior engineers. This will highlight your leadership style and how you can contribute to the company's culture.
✨Prepare for Technical Questions
Expect technical questions that dive deep into data architecture and engineering challenges. Practice explaining your thought process when solving complex problems, as this will showcase your analytical skills and approach to data-driven decision-making.
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions ready about the company's data strategy or future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.