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- Tasks: Lead a talented team to optimise data pipelines and drive best practices in data engineering.
- Company: A top financial services firm in Greater London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and excellent benefits package.
- Why this job: Make a significant impact in a dynamic environment while leading a skilled team.
- Qualifications: 9+ years in data engineering with expertise in Scala, Python, and SQL.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services company in Greater London is seeking a Data Engineering Manager to lead and support the data engineering team. The role involves driving best practices in data engineering, managing skilled professionals, and collaborating with other teams to achieve business objectives.
Ideal candidates will have over 9 years of experience in data engineering, along with strong proficiency in Scala, Python, SQL, and related technologies. This position offers a hybrid work model with competitive benefits.
Data Engineering Manager — Scale Data Pipelines & Team employer: NewDay Ltd
Contact Detail:
NewDay Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager — Scale Data Pipelines & Team
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository that highlights your projects in Scala, Python, and SQL. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios and best practices. Practice explaining your thought process and how you’ve tackled challenges in previous roles—this will show your leadership capabilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineering Manager — Scale Data Pipelines & Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Scala, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can lead our team to success. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Leadership Skills: As a Data Engineering Manager, we need someone who can inspire and manage a team. Highlight any previous leadership roles or experiences where you’ve driven best practices and collaborated effectively with others.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NewDay Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your skills in Scala, Python, and SQL. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll be leading a team. Prepare examples of how you've successfully managed teams in the past, focusing on how you drove best practices and supported your team members' growth.
✨Understand the Business Context
Familiarise yourself with the financial services industry and the company's objectives. Be prepared to discuss how data engineering can drive business success and how you can contribute to achieving those goals.
✨Prepare for Collaboration Questions
Collaboration is key in this role. Think of instances where you've worked with other teams to achieve a common goal. Be ready to explain your approach to cross-team collaboration and how you handle differing opinions.
