At a Glance
- Tasks: Design and implement a modern data platform while ensuring data security and governance.
- Company: Leading technology organisation in the UK with a focus on innovation.
- Benefits: Contract role in a collaborative environment with cutting-edge technology solutions.
- Why this job: Own the end-to-end data infrastructure and make a real impact in data engineering.
- Qualifications: Strong experience with Azure Databricks and understanding of data governance principles.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology organization in the United Kingdom is seeking a Senior Data Engineer to design and implement a modern data platform. This pivotal role involves owning the end-to-end data infrastructure, which includes building pipelines and ensuring data security and governance.
The ideal candidate will have strong experience with Azure Databricks and a solid understanding of data governance principles. This position offers a contract role in a collaborative environment focused on innovative technology solutions.
Azure Data Platform Engineer — Greenfield, Security-First in London employer: Orla Rose Associates
Contact Detail:
Orla Rose Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Platform Engineer — Greenfield, Security-First in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Azure and data platforms. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on data governance principles and security practices. We want you to be ready to discuss how you’d handle real-world scenarios in a collaborative environment.
✨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. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Azure Data Platform Engineer — Greenfield, Security-First in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and data governance principles. 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 building modern data platforms and how you can contribute to our security-first approach. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data infrastructure before. We love seeing candidates who can think critically and innovate, especially in a collaborative environment like ours.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll make sure your application gets into the right hands!
How to prepare for a job interview at Orla Rose Associates
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Databricks knowledge. Be ready to discuss how you've used it in past projects, and think of specific examples where you’ve built data pipelines or implemented security measures. This will show that you’re not just familiar with the platform but can also leverage it effectively.
✨Understand Data Governance Principles
Since this role emphasises data governance, be prepared to talk about your experience with data security and compliance. Familiarise yourself with relevant regulations and best practices, and be ready to explain how you’ve ensured data integrity and security in your previous roles.
✨Showcase Your Problem-Solving Skills
In a technical interview, you might face scenario-based questions. Think about challenges you've encountered in data engineering and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, team dynamics, and the technologies they use. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.