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- Tasks: Lead data engineering projects and design scalable data architectures.
- Company: Top UK tech and cloud services provider with a focus on innovation.
- Benefits: Flexible hybrid working, competitive salary, and career development opportunities.
- Other info: Exciting projects with a modern Microsoft Fabric data platform.
- Why this job: Join a forward-thinking team and shape the future of data engineering.
- Qualifications: Proven experience in data engineering and leadership skills.
The predicted salary is between 60000 - 80000 £ 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 Science Team Lead & 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 Science Team Lead & Data Engineering Team Lead in Lincolnshire, Newark
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Engineering roles and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 are proactive about their job search!
We think you need these skills to ace Data Science Team Lead & Data Engineering Team Lead in Lincolnshire, Newark
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineering Lead role. Highlight your expertise in data architecture and any relevant projects you've led, as this will show us you're a great fit for the position.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background makes you the perfect candidate. Be sure to mention specific technologies or methodologies you’ve worked with that relate to our Microsoft Fabric platform.
Showcase Your Achievements: When detailing your experience, focus on your achievements rather than just responsibilities. Use metrics where possible to demonstrate the impact of your work, like improvements in data processing times or successful project completions.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and allows us to keep track of all applicants efficiently. Plus, it’s super easy!
How to prepare for a job interview at ECS
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering and architecture. Brush up on concepts like ingestion processes, lakehouse design, and Microsoft Fabric. Being able to discuss these topics confidently will show that you’re not just familiar with the role but genuinely passionate about it.
✨Showcase Your Leadership Skills
As a Data Engineering Lead, you’ll need to demonstrate your ability to lead a team effectively. Prepare examples from your past experiences where you’ve successfully managed projects or mentored team members. This will help illustrate your leadership style and how you can contribute to the company’s success.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and knowledge of data engineering tools. Practice coding challenges or case studies relevant to data architecture. This will not only boost your confidence but also showcase your analytical thinking during the interview.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the company’s data strategy and future projects. This shows your interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage with the interviewers on a deeper level.