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- Tasks: Manage and optimise data pipelines using Azure technologies for impactful projects.
- Company: Join a UK government body committed to innovation and diversity.
- Benefits: Enjoy a hybrid working model with flexible arrangements and a supportive environment.
- Why this job: Make a difference by ensuring data quality and supporting analytical workflows.
- Qualifications: Strong SQL skills and experience with Azure Data Factory required.
- Other info: Applications are open until April 20th, so don't miss out!
The predicted salary is between 40000 - 55000 £ per year.
A UK government body is seeking a Data Engineer to manage and optimize data pipelines using Azure technologies. The role involves building ETL processes, ensuring data quality, and collaborating with various teams to support analytical workflows.
Applicants should have strong SQL skills and experience with Azure Data Factory. This position offers a hybrid working model, encouraging applications from diverse backgrounds and those needing flexible working arrangements. Applications are open until April 20th.
Azure Data Engineer - Hybrid Pipelines Lead in Leeds employer: UK Government Investments (UKGI)
Contact Detail:
UK Government Investments (UKGI) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer - Hybrid Pipelines Lead in Leeds
✨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 Azure Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL processes and data pipelines. We recommend using GitHub to share your projects, especially if they involve Azure technologies. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss how you've optimised data pipelines in the past. We suggest practising common interview questions related to Azure Data Factory and data quality management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from diverse backgrounds, so don’t hesitate to put yourself out there before the April 20th deadline!
We think you need these skills to ace Azure Data Engineer - Hybrid Pipelines Lead in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure technologies and SQL skills. We want to see how your background aligns with the role of managing and optimising data pipelines.
Showcase Your Projects: If you've worked on any relevant projects, especially involving ETL processes or data quality, be sure to mention them. We love seeing practical examples of your work!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role.
How to prepare for a job interview at UK Government Investments (UKGI)
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Data Factory skills. Be ready to discuss how you've used it in past projects, especially in building ETL processes. Familiarise yourself with the latest features and best practices, as this will show your commitment to staying current in the field.
✨SQL Skills Are Key
Since strong SQL skills are a must for this role, practice writing complex queries and optimising them for performance. You might be asked to solve a problem on the spot, so being comfortable with SQL syntax and functions will give you an edge.
✨Collaboration is Crucial
This role involves working with various teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experience you have in supporting analytical workflows and how you’ve ensured data quality through teamwork.
✨Embrace the Hybrid Model
Since this position offers a hybrid working model, think about how you can effectively manage your time and communication in both remote and in-office settings. Be ready to discuss your strategies for staying productive and connected with your team, regardless of where you're working from.