Senior Azure Data Engineer

Senior Azure Data Engineer

Dartford Full-Time 43200 - 78000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to support crucial reporting projects and drive business transformation.
  • Company: Be part of a high-calibre IT Managed Services Provider focused on innovation.
  • Benefits: Enjoy remote work options and opportunities for professional growth.
  • Why this job: Advance your career with cutting-edge Microsoft cloud technologies and impactful projects.
  • Qualifications: Extensive experience in data engineering, Azure Data Platform, and proficiency in SQL and Python required.
  • Other info: Ideal for tech enthusiasts eager to mentor and collaborate in an agile environment.

The predicted salary is between 43200 - 78000 £ per year.

High-calibre IT Managed Services Provider seeking an Azure Data Engineer to join their expanding applications team. In this role, you’ll support a crucial reporting project and play a key part in driving business transformation with the very latest Microsoft cloud technologies.

The ideal candidate will have extensive experience as a data engineer within large organisations working on enterprise-class platforms. This opportunity is ideal for someone who enjoys staying up to date with technology through active involvement in solution delivery and is keen to advance their career by enhancing their skills in digital transformation.

Key Responsibilities:
  • Collaborate on enterprise-level projects.
  • Deliver hands-on solutions to internal clients.
  • Stay updated with technology trends and actively participate in solution delivery.
Required Technical Skills:
  • Proficiency in Azure Data Platform (Data Lake, Synapse Analytics, SQL Database, Data Factory).
  • Strong knowledge of Power BI and Microsoft reference architectures.
  • Experience in Data Platform Design and Azure DevOps.
  • Understanding of Azure data integration technologies and Modern Workplace.
  • Experience with Fabric would be beneficial.
Other Experience:
  • Agile delivery methods.
  • Mentoring junior staff.
  • Deploying Azure solutions using CI/CD pipelines.
  • Data integration, analysis, modelling, cleansing, and enrichment.
  • Working with remote teams.
  • Proficiency in SQL and Python.
  • Knowledge of Data Governance, including MDM and Data Quality tools.

Senior Azure Data Engineer employer: Context Recruitment

Join a high-calibre IT Managed Services Provider that prioritises innovation and employee development. With a strong focus on collaboration and cutting-edge technology, this remote role offers competitive compensation and the chance to work on transformative projects while enhancing your skills in Azure and data engineering. Enjoy a supportive work culture that values continuous learning and provides ample opportunities for career advancement.
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Contact Detail:

Context Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Azure Data Engineer

✨Tip Number 1

Network with professionals in the Azure Data Engineering field. Attend relevant meetups, webinars, or conferences to connect with others who work in similar roles. This can help you gain insights into the industry and potentially lead to referrals.

✨Tip Number 2

Showcase your hands-on experience with Azure technologies by contributing to open-source projects or creating your own projects. This not only demonstrates your skills but also gives you practical examples to discuss during interviews.

✨Tip Number 3

Stay updated on the latest trends and updates in Azure and data engineering. Follow industry blogs, join forums, and participate in online courses to enhance your knowledge and show your commitment to continuous learning.

✨Tip Number 4

Prepare for technical interviews by practising common data engineering problems and scenarios related to Azure. Familiarise yourself with the tools and technologies mentioned in the job description, as this will help you demonstrate your expertise effectively.

We think you need these skills to ace Senior Azure Data Engineer

Proficiency in Azure Data Platform (Data Lake, Synapse Analytics, SQL Database, Data Factory)
Strong knowledge of Power BI and Microsoft reference architectures
Experience in Data Platform Design and Azure DevOps
Understanding of Azure data integration technologies
Experience with Fabric
Agile delivery methods
Mentoring junior staff
Deploying Azure solutions using CI/CD pipelines
Data integration, analysis, modelling, cleansing, and enrichment
Working with remote teams
Proficiency in SQL
Proficiency in Python
Knowledge of Data Governance, including MDM and Data Quality tools

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Azure Data Platform, Power BI, and any relevant projects you've worked on. Use keywords from the job description to ensure it aligns with what the company is looking for.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your proficiency in Azure technologies and your ability to drive business transformation.

Showcase Relevant Projects: If you have worked on enterprise-level projects or have experience with CI/CD pipelines, make sure to include these in your application. Highlight your role and the impact of your contributions to showcase your skills effectively.

Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to Azure technologies or data engineering. This shows your commitment to staying updated with technology trends, which is crucial for this role.

How to prepare for a job interview at Context Recruitment

✨Showcase Your Technical Skills

Make sure to highlight your proficiency in the Azure Data Platform, including Data Lake, Synapse Analytics, and SQL Database. Be prepared to discuss specific projects where you've successfully implemented these technologies.

✨Demonstrate Your Problem-Solving Abilities

Prepare examples of how you've tackled complex data integration challenges in previous roles. Companies are looking for candidates who can deliver hands-on solutions and drive business transformation.

✨Stay Updated with Technology Trends

Express your enthusiasm for staying current with the latest Microsoft cloud technologies. Discuss any recent trends or tools you've explored, especially those related to Azure and data engineering.

✨Emphasise Collaboration and Mentoring

Since the role involves working with remote teams and mentoring junior staff, be ready to share your experiences in collaborative environments. Highlight any leadership roles you've taken on and how you've supported others in their development.

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