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- Tasks: Design and optimise a cloud-native Azure data platform while mentoring junior engineers.
- Company: Amey Group Services LTD, a forward-thinking company with a hybrid working model.
- Benefits: Competitive salary, comprehensive training, flexible benefits, and career growth opportunities.
- Other info: Join a dynamic team and enjoy a supportive work environment.
- Why this job: Lead innovative projects and make a real impact in the data engineering field.
- Qualifications: Experience with Azure Databricks and strong data processing skills.
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 in London 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 in London
✨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 your 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 love seeing practical examples of what you can do!
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common technical questions related to data engineering and cloud platforms. We want to see your confidence shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are eager to grow with us.
We think you need these skills to ace Data Lake Engineer — Azure Databricks & Medallion Platform in London
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 and data processing pipelines, as well as any mentoring you've done. We want to see how your skills match what we're looking for!
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. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with Azure Databricks and any relevant tools or technologies. We love seeing candidates who are up-to-date with the latest trends in data engineering!
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 keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Amey Group Services LTD
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Databricks knowledge. Understand how it integrates with data lakes and the Medallion architecture. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience with data processing pipelines. Have examples ready that demonstrate your ability to design, implement, and optimise these pipelines, especially in a cloud-native environment.
✨Emphasise Data Quality Control
Since defining data quality controls is a key responsibility, be prepared to discuss your approach to ensuring data integrity. Share any frameworks or methodologies you've used to maintain high-quality datasets.
✨Mentorship Matters
As mentoring junior engineers is part of the role, think about your past experiences in guiding others. Be ready to share how you've supported team members in their development and how you can contribute to a collaborative team culture.