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- Tasks: Design and optimise data pipelines using Azure technologies and ensure data quality.
- Company: Leading tech firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Must have active SC clearance; great chance to advance your career in a supportive environment.
- Why this job: Join a dynamic team and work with cutting-edge Azure tools to shape the future of data.
- Qualifications: 10+ years in data engineering with strong Azure and programming skills.
The predicted salary is between 48000 - 72000 £ per year.
Essential Skills & Experience:
- 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks.
- Good proficiency in Python and Spark (PySpark) or Scala.
- Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns.
- Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database.
- Experience working with large datasets and complex data pipelines.
- Experience with data architecture design and data pipeline optimization.
- Proven expertise with Databricks, including hands-on implementation experience and certifications.
- Experience with SQL and NoSQL databases.
- Experience with data quality and data governance processes.
- Experience with version control systems (e.g., Git).
- Experience with Agile development methodologies.
AZURE DATA ENGINEER - MUST HAVE ACTIVE SC CLEARANCE in London employer: Skillsbay
Contact Detail:
Skillsbay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AZURE DATA ENGINEER - MUST HAVE ACTIVE SC CLEARANCE in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Databricks and data pipelines. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss your experience with Azure services and how you've tackled challenges in past projects. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace AZURE DATA ENGINEER - MUST HAVE ACTIVE SC CLEARANCE in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on experience with Python, Spark, and any relevant certifications.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the role. Share specific examples of your work with large datasets and complex data pipelines, and explain how your experience aligns with our needs at StudySmarter.
Showcase Your Projects: If you've worked on any notable projects involving Azure data services or data architecture design, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your expertise.
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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Skillsbay
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services, especially Azure Databricks, Data Factory, and SQL Database. Be ready to discuss your hands-on experience and any projects you've worked on that showcase your skills in these areas.
✨Showcase Your Coding Skills
Since proficiency in Python and Spark (PySpark) or Scala is crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data engineering to keep your skills sharp.
✨Understand Data Architecture
Familiarise yourself with data warehousing principles and data modelling techniques. Be prepared to explain how you've designed data architectures in the past and how you optimised data pipelines for performance and efficiency.
✨Emphasise Collaboration and Agile Experience
Highlight your experience working in Agile environments and using version control systems like Git. Discuss how you've collaborated with teams to deliver projects successfully, as teamwork is often key in data engineering roles.