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For Companies At a Glance
- Tasks: Build and maintain scalable data pipelines while improving data access and quality.
- Company: Join a forward-thinking government agency with a focus on data engineering.
- Benefits: Enjoy a competitive salary, generous pension contribution, and flexible working hours.
- Why this job: Make a real difference in data engineering while collaborating with diverse teams.
- Qualifications: Experience in data engineering and a passion for improving data quality.
- Other info: Great opportunities for professional development in a supportive environment.
The predicted salary is between 45700 - 45700 £ per year.
A government agency is seeking a Data Engineer to support the development of data engineering capabilities in Plymouth, Croydon, or Coventry. You will build and maintain data pipelines, improve data access and quality, and collaborate with multidisciplinary teams.
This role offers a salary of up to £45,700, a 29% employer pension contribution, and benefits including flexible working hours and opportunities for professional development.
Hybrid Data Engineer: Build scalable data pipelines & BI in Plymouth employer: HM Land Registry
Contact Detail:
HM Land Registry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer: Build scalable data pipelines & BI in Plymouth
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the agency on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and BI projects. We want to see what you can do, so make it easy for them to visualise your expertise.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common data engineering questions. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed that you won’t find anywhere else.
We think you need these skills to ace Hybrid Data Engineer: Build scalable data pipelines & BI in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and BI tools. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 our team. Keep it concise but engaging – we love a good story!
Showcase Collaboration Skills: Since this role involves working with multidisciplinary teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can bring that spirit to our agency!
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 HM Land Registry
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipelines and the tools commonly used in the industry. Be ready to discuss your experience with building and maintaining these pipelines, as well as any specific technologies you've worked with.
✨Showcase Collaboration Skills
Since this role involves working with multidisciplinary teams, be prepared to share examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and how you adapt to different team dynamics.
✨Understand Data Quality and Access
Familiarise yourself with best practices for improving data access and quality. Be ready to discuss strategies you've implemented in previous roles to enhance data integrity and accessibility, as this will be crucial for the agency's objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the agency's current data engineering capabilities and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their mission effectively.
