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- Tasks: Lead a team to define data strategy and enhance data platforms.
- Company: Leading retail company in Bolton with a focus on innovation.
- Benefits: Generous holidays, pension contributions, and wellness support.
- Why this job: Drive data innovation and cultivate a data-first culture.
- Qualifications: Experience in data engineering and team leadership.
- Other info: Join a dynamic team with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading retail company in Bolton is searching for a Data Engineering & Infrastructure Manager. This pivotal role involves defining the data strategy, overseeing a team of twelve, and ensuring high-performing data platforms. You will cultivate a data-first culture, enhance decision-making and collaborate across teams to drive data innovation.
The position offers excellent benefits, including generous holidays, pension contributions, and wellness support.
Data Engineering & Platform Manager, Real-Time & Scalable in Bolton employer: AO Retail Limited
Contact Detail:
AO Retail Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering & Platform Manager, Real-Time & Scalable in Bolton
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in data strategy and team management. We want to see how you’ve driven data innovation in the past.
✨Tip Number 3
Ace the interview by practising common questions related to data engineering and leadership. We can help you with mock interviews to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Engineering & Platform Manager, Real-Time & Scalable in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineering & Platform Manager role. Highlight your experience in defining data strategies and managing teams, 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 explain why you’re passionate about data and how you can contribute to our data-first culture. Don’t forget to mention any relevant projects or achievements that demonstrate your expertise.
Showcase Your Leadership Skills: Since this role involves overseeing a team, make sure to highlight your leadership experience. Share examples of how you’ve successfully managed teams in the past and fostered collaboration across departments to drive innovation.
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at AO Retail Limited
✨Know Your Data Strategy
Make sure you understand the company's data strategy and how it aligns with their goals. Be prepared to discuss your vision for a data-first culture and how you can enhance decision-making through effective data management.
✨Showcase Leadership Skills
As you'll be overseeing a team of twelve, it's crucial to demonstrate your leadership abilities. Share examples of how you've successfully managed teams in the past, focusing on collaboration and driving innovation within data projects.
✨Prepare for Technical Questions
Brush up on your technical knowledge related to data engineering and platform management. Expect questions about data architecture, scalability, and performance optimisation. Being able to articulate your experience with these concepts will set you apart.
✨Ask Insightful Questions
At the end of the interview, don't forget to ask thoughtful questions. Inquire about the current challenges the team faces or how they measure success in their data initiatives. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
