At a Glance
- Tasks: Lead data engineering efforts and develop automated data solutions for impactful public services.
- Company: A governmental body in Glasgow dedicated to delivering essential compensation services.
- Benefits: Full-time role with a chance to make a difference in the public sector.
- Why this job: Join a mission-driven team and enhance your skills in cloud-native engineering with AWS.
- Qualifications: Strong experience in AWS, Python, Databricks, and Agile practices required.
- Other info: Opportunity to work in a dynamic environment with meaningful impact.
The predicted salary is between 42000 - 60000 £ per year.
A governmental body in Glasgow is seeking a skilled Data Engineer to lead their data engineering efforts. The candidate will develop automated data solutions and ensure quality across data management processes.
Key qualifications include:
- Strong experience in cloud-native engineering using AWS
- Proficiency in coding with Python and Databricks
- Familiarity with Agile practices
This full-time role offers an impactful opportunity in the public sector, focusing on delivering essential compensation services.
Data Platform Engineer Lead (AWS) in Glasgow employer: Infected Blood Compensation Authority
Contact Detail:
Infected Blood Compensation Authority Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer Lead (AWS) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Platform Engineer Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, Python scripts, and any Databricks work you've done. We want to see your expertise in action, so make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your Agile practices and be ready to discuss how you’ve implemented automated data solutions in the past. We suggest practising common interview questions with a friend to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re here to help you every step of the way, so take that leap and submit your application today!
We think you need these skills to ace Data Platform Engineer Lead (AWS) in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your cloud-native engineering 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 your background makes you the perfect fit for leading our data efforts.
Showcase Your Agile Experience: Since familiarity with Agile practices is key, include examples of how you've worked in Agile environments. We love seeing how you’ve adapted to changes and delivered results in a team setting!
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 during the process!
How to prepare for a job interview at Infected Blood Compensation Authority
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss specific services you've used, how you've implemented them in past projects, and any challenges you faced. This will show that you're not just familiar with AWS, but that you can leverage it effectively in a data engineering context.
✨Showcase Your Python Skills
Prepare to demonstrate your coding skills in Python. You might be asked to solve a problem or explain your thought process while coding. Practising common data manipulation tasks or algorithms in Python can help you feel more confident and ready to impress.
✨Familiarise Yourself with Databricks
Since Databricks is mentioned in the job description, make sure you understand its features and how it integrates with AWS. Be prepared to discuss how you've used Databricks in previous roles, including any specific projects where it played a key role in your data solutions.
✨Embrace Agile Methodologies
As the role involves Agile practices, be ready to talk about your experience working in Agile teams. Think of examples where you've contributed to sprints, collaborated with cross-functional teams, or adapted to changing requirements. This will highlight your ability to thrive in a dynamic work environment.