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For Companies At a Glance
- Tasks: Lead data migration to Azure and design scalable data architectures.
- Company: Join a forward-thinking company shaping the future of its data platform.
- Benefits: Enjoy a competitive salary, professional development, and a collaborative work environment.
- Why this job: Be at the forefront of transformation and make a significant impact on the business.
- Qualifications: Proven experience in data migration, SQL, Cosmos DB, and cloud technologies required.
- Other info: Opportunity to foster innovation and contribute to team growth.
The predicted salary is between 43200 - 72000 £ per year.
We would like a Senior Data Engineer to help navigate this data migration and shape the future of its data platform. This is a unique opportunity to have a significant influence over the migration process and the technology stack. The role involves not just moving data but also creating a strong, scalable, and future-ready data infrastructure.
The Job
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Continue the migration of on-premises SQL and Cosmos DB to Azure.
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Design and implement data architecture and pipelines that are scalable and efficient.
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Collaborate with cross-functional teams to integrate Data Science and Machine Learning models into our pricing system.
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Establish best practices and governance for data management and ensure compliance with industry standards.
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Contribute to the growth and development of the Data team, fostering a culture of innovation and continuous improvement.
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Evaluate and implement new technologies to enhance data processing and analytics capabilities.
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Proven experience in leading data migration projects, particularly to cloud platforms like Azure.
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Strong expertise in SQL, Cosmos DB, and cloud technologies.
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Experience with Data Science and Machine Learning integration.
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Ability to design and implement scalable data architectures.
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Strong BI & ETL skills
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Significant influence over the data migration process and technology stack.
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Opportunity to contribute to the growth and development of a Data team.
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A collaborative and innovative work environment.
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Competitive salary and benefits package.
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Opportunities for professional development and career growth.
Why Join? This is more than just a job; it’s a chance to be at the forefront of a major transformation. You’ll have the freedom to shape the future of our data platform and make a significant impact on our business. If you’re passionate about data and looking for a role where you can lead, innovate, and grow, we want to hear from you
Senior Data Engineer employer: Saas Platform
Contact Detail:
Saas Platform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarize yourself with Azure's data migration tools and services. Understanding the specific features and capabilities of Azure will not only help you during the interview but also demonstrate your proactive approach to the role.
✨Tip Number 2
Showcase your experience with SQL and Cosmos DB by preparing examples of past projects where you successfully implemented scalable data architectures. Be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 3
Highlight your collaborative skills by discussing instances where you worked with cross-functional teams, especially in integrating Data Science and Machine Learning models. This will illustrate your ability to work in a team-oriented environment.
✨Tip Number 4
Stay updated on the latest trends in data management and cloud technologies. Being knowledgeable about new tools and best practices will show your commitment to continuous improvement and innovation, which is highly valued in this role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data migration projects, especially those involving Azure. Emphasize your expertise in SQL, Cosmos DB, and any relevant cloud technologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and innovation. Discuss how your previous experiences align with the responsibilities of the role, particularly in designing scalable data architectures and integrating Data Science and Machine Learning models.
Showcase Your Leadership Skills: Since this role involves contributing to the growth of the Data team, highlight any leadership or mentoring experiences you have. Mention specific instances where you've fostered a culture of innovation and continuous improvement.
Demonstrate Your Technical Knowledge: Be prepared to discuss your technical skills in detail. Include examples of how you've implemented best practices in data management and compliance with industry standards in your previous roles.
How to prepare for a job interview at Saas Platform
✨Showcase Your Migration Experience
Be prepared to discuss your previous data migration projects, especially those involving cloud platforms like Azure. Highlight specific challenges you faced and how you overcame them, as this will demonstrate your expertise and problem-solving skills.
✨Demonstrate Technical Proficiency
Make sure to brush up on your SQL and Cosmos DB knowledge. Be ready to answer technical questions or even solve problems on the spot. This will show that you have the strong technical foundation needed for the role.
✨Emphasize Collaboration Skills
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in the past. Discuss how you integrated Data Science and Machine Learning models into projects, as this aligns with the job requirements.
✨Discuss Innovation and Best Practices
Talk about your approach to establishing best practices in data management and how you stay updated with industry standards. Share any innovative solutions you've implemented in previous roles to enhance data processing and analytics capabilities.
