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- Tasks: Lead a team to build scalable data pipelines and platforms.
- Company: Join NewDay, a forward-thinking company in Greater London.
- Benefits: Permanent position with an inclusive work environment.
- Other info: Collaborate strategically with stakeholders in a dynamic setting.
- Why this job: Make a real impact on data-driven decision-making.
- Qualifications: Experience in data engineering and skills in Scala, Python, SQL.
The predicted salary is between 80000 - 100000 £ per year.
NewDay is seeking a Data Engineering Manager in Greater London to lead a talented team focused on building scalable data pipelines and platforms. This role involves hands-on technical leadership and strategic collaboration with stakeholders to enhance data-driven decision-making.
The ideal candidate will possess strong experience in data engineering, proficiency in Scala, Python, SQL, and be familiar with cloud platforms.
NewDay promotes an inclusive work environment and offers a permanent position.
Data Engineering Manager: Build Scalable Data Platforms employer: NewDay
Contact Detail:
NewDay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager: Build Scalable Data Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those at NewDay. A friendly chat can open doors and give you insights that might just help you stand out.
✨Tip Number 2
Show off your skills! If you've got a portfolio or any projects showcasing your expertise in Scala, Python, or SQL, make sure to highlight them during interviews. Real-world examples can really impress.
✨Tip Number 3
Prepare for technical questions! Brush up on your data engineering concepts and be ready to discuss how you've built scalable data platforms in the past. Confidence in your knowledge will shine through.
✨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 to connect with us directly.
We think you need these skills to ace Data Engineering Manager: Build Scalable Data Platforms
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data engineering, especially with Scala, Python, and SQL. We want to see how your skills can help us build those scalable data platforms!
Be Specific About Your Experience: When detailing your past roles, focus on specific projects where you led teams or collaborated with stakeholders. We love seeing concrete examples of how you've enhanced data-driven decision-making.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. We appreciate when candidates show they understand what we’re looking for.
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 from us!
How to prepare for a job interview at NewDay
✨Know Your Tech Inside Out
Make sure you brush up on your skills in Scala, Python, and SQL. Be ready to discuss your past projects and how you've used these technologies to build scalable data platforms. Practising coding challenges can also help you feel more confident.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've successfully managed teams in the past, focusing on collaboration and strategic decision-making. Highlight any experience you have in mentoring or guiding junior engineers.
✨Understand the Business Impact
Familiarise yourself with how data-driven decision-making impacts the business at NewDay. Be prepared to discuss how your work can enhance this process and provide specific examples of how you've contributed to similar outcomes in previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the challenges they face. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding inclusivity and teamwork.