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- Tasks: Lead data engineering projects and drive integration solutions for a modern retail business.
- Company: A rapidly growing retail company with a focus on innovation and technology.
- Benefits: Up to £80,000 salary, bonuses, private healthcare, and remote work options.
- Why this job: Join a dynamic team and shape the future of data in retail.
- Qualifications: Experience in data engineering and strong leadership skills.
- Other info: Exciting opportunity for career growth in a supportive environment.
The predicted salary is between 48000 - 64000 £ per year.
A large and growing retail business are looking to expand their IT function with the addition of a Data Integration Manager. This role will focus on end to end data engineering and integration solutions for a company wide modernisation programme.
Duties will include:
- Managing data integration projects
- Developing data pipelines
- Ensuring data quality and integrity
- Collaborating with cross-functional teams
Salary up to £80,000 plus bonus, private healthcare and more!
Data Engineering Manager in Lincoln employer: Confidential
Contact Detail:
Confidential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in Lincoln
✨Tip Number 1
Network like a pro! Reach out to folks in the retail and data engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data integration projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Engineering Managers and practice your answers. We want you to feel confident and ready to impress!
✨Tip Number 4
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!
We think you need these skills to ace Data Engineering Manager in Lincoln
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Manager role. Highlight your relevant experience in data engineering and integration solutions, and don’t forget to showcase any projects that align with our modernisation programme!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share your passion for data engineering and how you can contribute to our growing retail business.
Showcase Your Skills: We want to see your technical skills in action! Be sure to include specific examples of your expertise in data integration and management. This will help us understand how you can lead our IT function effectively.
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 this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Confidential
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering concepts and tools. Familiarise yourself with the latest trends in data integration and be ready to discuss how you've applied these in past roles. This will show that you're not just a manager, but a hands-on expert who can lead the team effectively.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your ability to lead and inspire a team. Prepare examples of how you've successfully managed projects and motivated your team in the past. Highlight your communication skills and how you handle conflicts or challenges within a team.
✨Understand the Retail Industry
Since this role is in the retail sector, do some research on current trends and challenges in the industry. Be prepared to discuss how data engineering can solve specific problems faced by retailers. This will show your potential employer that you're genuinely interested in their business and can contribute to their goals.
✨Prepare Questions for Them
Interviews are a two-way street, so come armed with thoughtful questions about the company's data strategy and future plans. This not only shows your interest but also helps you gauge if the company is the right fit for you. Ask about their current data challenges and how they envision the role evolving.
