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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: Enjoy competitive day rates and the chance to work on cutting-edge projects.
- Why this job: Be part of a dynamic team, enhancing your skills while making a real impact.
- Qualifications: Must have active DV clearance and proficiency in Azure tools and SQL.
- Other info: This is a 12-month contract role with opportunities for growth.
The predicted salary is between 39600 - 66000 £ per year.
Azure Data Engineer (DV Clearance Required)
12 MonthContract – £550+
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.
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Azure Data Engineer 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
✨Tip Number 1
Make sure to highlight your active DV clearance in any conversations or networking opportunities. This is a mandatory requirement for the role, and showcasing it early can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with the latest features and updates in Azure Data Factory, Databricks, and Synapse Analytics. Being able to discuss recent advancements or best practices during interviews can demonstrate your expertise and enthusiasm for the role.
✨Tip Number 3
Network with professionals in the Azure data engineering field, especially those who have experience working in secure environments. Engaging with them can provide insights into the role and may even lead to referrals.
✨Tip Number 4
Prepare to discuss specific projects where you've implemented CI/CD pipelines using Azure DevOps. Being able to share concrete examples of your work will help illustrate your capabilities and fit for the position.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Databricks, and Synapse Analytics. Include specific projects where you've developed data pipelines or managed cloud data platforms.
Craft a Strong Cover Letter: In your cover letter, emphasise your active DV clearance and how it aligns with the job requirements. Discuss your proficiency in SQL, Python, or Scala, and provide examples of how you've optimised data solutions in previous roles.
Showcase Relevant Experience: When detailing your work history, focus on your experience with CI/CD pipelines using Azure DevOps and any collaboration with data scientists or analysts. This will demonstrate your ability to work in a team and manage complex data projects.
Highlight Compliance Knowledge: Since compliance with data governance and security standards is crucial for this role, mention any relevant training or experience you have in this area. This could set you apart from other candidates.
How to prepare for a job interview at Berkeley Square IT
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Factory, Databricks, and Synapse Analytics. Highlight specific projects where you've built ETL processes or managed data pipelines, as this will demonstrate your hands-on expertise.
✨Understand Data Governance
Since compliance with data governance and security standards is crucial for this role, brush up on relevant regulations and best practices. Be ready to explain how you have ensured data security in previous projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you optimised data pipelines or collaborated with data scientists and analysts to deliver successful outcomes.
✨Demonstrate Your Soft Skills
While technical skills are vital, don't forget to showcase your communication and collaboration abilities. Discuss how you've worked with stakeholders and team members to achieve project goals, as this is key in a collaborative environment.
