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- Tasks: Lead a team to design scalable data pipelines and optimise data architecture.
- Company: Exciting startup in the digital advertising space with strong funding.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in the digital advertising industry.
- Qualifications: 6+ years of experience in data engineering and strong problem-solving skills.
- Other info: Work in Central London with a collaborative and innovative culture.
The predicted salary is between 48000 - 72000 £ per year.
A well-funded startup in the digital advertising space is seeking a hands-on Data Engineering Manager to lead a team of Data Engineers. This mid-senior level role involves designing scalable data pipelines and ensuring best-practice data architecture. The ideal candidate will have over 6 years of experience and a problem-solving mindset. The position offers a full-time employment type with hybrid working arrangements from Central London.
AI‑Ready Data Engineering Manager — Scale & Impact in England employer: Diagonal recruitment
Contact Detail:
Diagonal recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI‑Ready Data Engineering Manager — Scale & Impact in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the digital advertising space and let them know you're on the hunt for a Data Engineering Manager role. You never know who might have the inside scoop on openings or can refer you directly.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those involving scalable data pipelines and architecture. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for Data Engineering Managers and practice your responses. Be ready to discuss your problem-solving mindset and how you've tackled challenges in past roles.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI‑Ready Data Engineering Manager — Scale & Impact in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and leadership. We want to see how your skills align with the role of Data Engineering Manager, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your problem-solving mindset can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: We’re looking for someone who knows their stuff when it comes to data pipelines and architecture. Be sure to mention specific technologies and methodologies you’ve worked with that are relevant 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!
How to prepare for a job interview at Diagonal recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering tools and techniques. Brush up on your knowledge of scalable data pipelines and best-practice data architecture, as these will likely be key discussion points during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process.
✨Familiarise Yourself with the Company
Research the startup’s mission, values, and recent projects in the digital advertising space. This will not only help you tailor your responses but also show your genuine interest in the company and its goals.
✨Prepare Questions for Them
Have a list of insightful questions ready to ask the interviewers. Inquire about their current data challenges or the team dynamics. This demonstrates your enthusiasm for the role and helps you assess if the company is the right fit for you.
