At a Glance
- Tasks: Design and develop Azure pipelines and Databricks workloads for modern analytics.
- Company: Leading tech firm specialising in Azure data solutions.
- Benefits: Flexible hybrid work, comprehensive benefits, and exposure to cutting-edge technologies.
- Other info: Opportunity for career growth in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of data analytics.
- Qualifications: Experience with Azure data solutions and strong collaboration skills.
The predicted salary is between 60000 - 60000 £ per year.
A data engineer role in the United Kingdom focusing on Azure data solutions.
You will design and develop Azure pipelines, Databricks workloads, and data warehouses while collaborating with engineers and business stakeholders.
The position offers a flexible hybrid working environment, exposure to the latest Azure technologies, and a comprehensive benefits package.
You will contribute to secure, reliable, and scalable analytics across the platform.
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Azure Data Engineer — Modern Analytics Platform employer: Amtis - Digital, Technology, Transformation
As a Microsoft Dynamics Consultant with us, you'll be part of a dynamic and innovative team in London, where we prioritise employee growth and development. Our collaborative work culture fosters creativity and strategic thinking, allowing you to lead impactful projects that shape customer engagement solutions. Enjoy competitive benefits and the unique opportunity to work in a hybrid environment, balancing professional and personal life while contributing to transformative initiatives in the Microsoft ecosystem.
Contact Details:
Amtis - Digital, Technology, Transformation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer — Modern Analytics Platform
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We think you need these skills to ace Azure Data Engineer — Modern Analytics Platform
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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