Senior Azure Data Engineer

Senior Azure Data Engineer

High Wycombe 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 skill enhancement in digital transformation.
  • Why this job: Advance your career with cutting-edge Microsoft cloud technologies and collaborative enterprise-level projects.
  • Qualifications: Extensive experience as a data engineer with proficiency in Azure Data Platform and SQL.
  • Other info: Ideal for tech enthusiasts eager to mentor and work with agile delivery methods.

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

As a leading IT Managed Services Provider, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and professional growth. Our remote working environment allows for flexibility while providing access to cutting-edge Microsoft cloud technologies, ensuring our employees are at the forefront of digital transformation. With a strong emphasis on collaboration and mentorship, we offer ample opportunities for career advancement and skill enhancement, making us an excellent employer for those looking to make a meaningful impact in the tech industry.
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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 industry meetups, webinars, or online forums where you can connect with others who work with Azure technologies. This can help you gain insights into the role and potentially lead to referrals.

✨Tip Number 2

Showcase your hands-on experience with Azure Data Platform tools. If you've worked on projects involving Data Lake, Synapse Analytics, or Data Factory, be prepared to discuss specific challenges you faced and how you overcame them during interviews.

✨Tip Number 3

Stay updated with the latest trends in Azure and data engineering. Follow relevant blogs, podcasts, or online courses that focus on Azure technologies and data integration. This knowledge will not only enhance your skills but also demonstrate your commitment to continuous learning.

✨Tip Number 4

Prepare to discuss your experience with Agile methodologies and CI/CD pipelines. Many companies value candidates who can adapt to their development processes, so being able to articulate your experience in these areas will set you apart from other applicants.

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

Proficiency in Azure Data Platform
Experience with Data Lake and Synapse Analytics
Strong knowledge of SQL Database and Data Factory
Expertise in Power BI and Microsoft reference architectures
Data Platform Design experience
Familiarity with Azure DevOps
Understanding of Azure data integration technologies
Knowledge of Modern Workplace solutions
Experience with Fabric
Agile delivery methods
Mentoring and coaching junior staff
CI/CD pipeline deployment for Azure solutions
Data integration, analysis, modelling, cleansing, and enrichment skills
Ability to work effectively with remote teams
Proficiency in SQL and 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 specific examples that demonstrate your proficiency in data integration and cloud technologies.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in driving business transformation and delivering hands-on solutions.

Showcase Relevant Projects: If you have worked on enterprise-class platforms or have experience with CI/CD pipelines, make sure to include these details in your application. Highlight any mentoring roles or agile delivery methods you've employed.

Highlight Continuous Learning: Demonstrate your commitment to staying updated with technology trends. Mention any recent courses, certifications, or projects that showcase your proactive approach to learning and applying new skills in digital transformation.

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. This will show your potential employer that you can deliver hands-on solutions effectively.

✨Stay Updated with Technology Trends

Discuss recent advancements in Microsoft cloud technologies and how they can be applied to business transformation. This demonstrates your commitment to continuous learning and staying relevant in the field.

✨Emphasise Collaboration and Mentoring

Since the role involves working with remote teams and mentoring junior staff, share experiences where you've successfully collaborated on projects or guided less experienced colleagues.

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