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- Tasks: Design and optimise cloud-based data solutions in secure Azure environments.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive day rates, remote work options, and professional growth opportunities.
- Why this job: Make an impact by working with cutting-edge Azure technologies in a secure environment.
- Qualifications: Active DV clearance and proficiency in Azure tools and SQL.
- Other info: Exciting contract role with potential for career advancement.
The predicted salary is between 39600 - 66000 £ per year.
We are looking for a skilled Azure Data Engineer with active DV clearance to design and optimize cloud-based data solutions in secure Azure environments.
Key Responsibilities:
- Develop and manage Azure data pipelines and architectures.
- Build ETL processes using Azure Data Factory, Databricks, and Synapse Analytics.
- Manage scalable, secure cloud data platforms.
- Implement storage solutions like Azure Data Lake and SQL Database.
- Optimize data pipelines and monitor performance.
- Collaborate with data scientists, analysts, and stakeholders.
- Ensure compliance with data governance and security standards.
Requirements:
- Active DV Clearance (Mandatory).
- Proficient with Azure Data Factory, Databricks, Synapse, SQL, and Data Lake.
- Strong SQL, Python, or Scala skills for data transformation.
- Experience with CI/CD pipelines using Azure DevOps.
- Familiar with data governance and Power BI for visualization.
Contract role with competitive day rates.
Azure Data Engineer in City of London employer: Berkeley Square IT
Contact Detail:
Berkeley Square IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the Azure community or join relevant groups. You never know who might have a lead on that perfect Azure Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure projects, especially those involving Data Factory and Databricks. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with ETL processes and cloud data platforms, as these are key for the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Azure Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Databricks, and other relevant tools. We want to see how your skills match the job description, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Azure Data Engineer role. Mention your active DV clearance and how your past experiences align with our needs.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve building ETL processes or optimising data pipelines.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Berkeley Square IT
✨Know Your Azure Tools
Make sure you brush up on your knowledge of Azure Data Factory, Databricks, and Synapse Analytics. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since strong SQL, Python, or Scala skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data transformation tasks beforehand to show off your expertise.
✨Understand Data Governance
Familiarise yourself with data governance principles and compliance standards relevant to the role. Be prepared to discuss how you ensure data security and governance in your projects, as this is crucial for working in secure Azure environments.
✨Collaborate and Communicate
As collaboration is key in this role, think of examples where you've worked with data scientists, analysts, or stakeholders. Highlight your communication skills and how you ensure everyone is on the same page when managing data projects.
