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- Tasks: Design and optimise a cloud-native Azure data platform while mentoring junior engineers.
- Company: Join Amey Group Services LTD, a leader in innovative data solutions.
- Benefits: Enjoy a competitive salary, comprehensive training, and flexible benefits.
- Why this job: Make an impact by delivering high-quality datasets in a hybrid working environment.
- Qualifications: Experience with Azure Databricks and a passion for data engineering.
The predicted salary is between 50000 - 60000 £ per year.
Amey Group Services LTD is excited to offer a permanent Data Lake Engineer role with hybrid working in the United Kingdom. You will lead the design and optimization of a cloud-native Azure-based data platform, ensuring efficient, secure delivery of high-quality datasets.
Responsibilities include:
- Implementing data processing pipelines
- Defining data quality controls
- Mentoring junior engineers
The position offers a competitive salary, career growth, and various benefits such as comprehensive training and flexible benefits.
Data Lake Engineer — Azure Databricks & Medallion Platform employer: Amey Group Services LTD
Contact Detail:
Amey Group Services LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lake Engineer — Azure Databricks & Medallion Platform
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Amey Group Services LTD on LinkedIn. A friendly chat can give us insider info and might just get our foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Azure Databricks and data processing pipelines. We want to demonstrate our expertise in a way that stands out.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to data quality controls and mentoring. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we fit the role of Data Lake Engineer perfectly.
We think you need these skills to ace Data Lake Engineer — Azure Databricks & Medallion Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Lake Engineer role. Highlight your experience with Azure Databricks and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: In your application, don’t just list your skills—show us how you’ve used them! Whether it’s implementing data processing pipelines or mentoring others, give us examples that demonstrate your expertise.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status directly. We can’t wait to hear from you!
How to prepare for a job interview at Amey Group Services LTD
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Databricks and the Medallion architecture. Brush up on your knowledge of data processing pipelines and data quality controls, as these will likely be key discussion points during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to design and optimise data platforms, as this will demonstrate your hands-on experience and critical thinking.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the role, think about how you can convey your leadership style. Share experiences where you’ve guided others or contributed to team development, showing that you can foster a collaborative environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals.