Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of secure data pipelines on Google Cloud Platform.
- Company: A leading governmental department in the UK with a supportive environment.
- Benefits: Flexible working, substantial pension contribution, and opportunities for professional growth.
- Why this job: Innovate and mentor a talented team while making a real impact.
- Qualifications: Strong skills in Python, SQL, and cloud technologies required.
The predicted salary is between 43200 - 72000 £ per year.
A leading governmental department in the UK is seeking an experienced Data Engineer to lead the development of secure data pipelines on Google Cloud Platform. You will take ownership of critical data services while innovating and mentoring a talented team. This role requires strong skills in Python, SQL, and cloud technologies.
The organization offers a supportive environment with numerous benefits including flexible working and a substantial pension contribution, aiming to develop and empower its workforce.
Cloud Data Engineering Lead - Production Pipelines in Manchester employer: Manchester Digital
Contact Detail:
Manchester Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineering Lead - Production Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your work with data pipelines, Python, and SQL. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your answers. Focus on how you've led teams and tackled challenges in previous projects.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be just right for you. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Cloud Data Engineering Lead - Production Pipelines in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud technologies. We want to see how your skills align with the role of Cloud Data Engineering Lead, 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 contribute to developing secure data pipelines. Let us know what excites you about this opportunity!
Showcase Leadership Skills: Since this role involves mentoring a talented team, make sure to highlight any leadership experiences you have. We love to see examples of how you've guided others or taken ownership of projects in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Manchester Digital
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Google Cloud Platform skills. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, prepare examples of how you've led projects or guided colleagues in the past. Highlight your approach to fostering a supportive environment and empowering others to succeed.
✨Understand the Organisation's Goals
Research the governmental department and its mission. Be prepared to discuss how your work can align with their objectives, especially in terms of developing secure data pipelines that meet their needs.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. This could include inquiries about the team's current projects, the tools they use, or how they measure success in their data services. It shows you're genuinely interested and engaged.
