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- Tasks: Lead the migration of data to Azure and design scalable data architectures.
- Company: Join a SaaS platform transforming its data capabilities with cutting-edge technology.
- Benefits: Enjoy a competitive salary, professional development opportunities, and a remote work option.
- Why this job: Be at the forefront of innovation, shaping the future of our data platform.
- Qualifications: Proven experience in data migration, SQL, Cosmos DB, and cloud technologies required.
- Other info: This role offers significant influence over technology choices and team growth.
The predicted salary is between 80000 - 85000 £ per year.
Senior Data Engineer – Remote / Manchester – £80-85,000
A SaaS platform is on a mission to revamp its data setup. As it continues to move on-premises SQL and Cosmos DB to the cloud with Azure, a new Data team is being formed to lead the charge. The goal is to use the latest tech to boost data capabilities and bring innovation to pricing systems with Data Science and Machine Learning.
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 influence the migration process and the technology stack significantly. The role involves moving data and creating a strong, scalable, and future-ready data infrastructure.
Continue the migration of on-premises SQL and Cosmos DB to Azure.
Design and implement data architecture and pipelines that are scalable and efficient.
Collaborate with cross-functional teams to integrate Data Science and Machine Learning models into our pricing system.
Establish best practices and governance for data management and ensure compliance with industry standards.
Contribute to the growth and development of the Data team, fostering a culture of innovation and continuous improvement.
Evaluate and implement new technologies to enhance data processing and analytics capabilities.
Proven experience in leading data migration projects, particularly to cloud platforms like Azure.
Strong expertise in SQL, Cosmos DB, and cloud technologies.
Experience with Data Science and Machine Learning integration.
Ability to design and implement scalable data architectures.
Strong BI & ETL skills
Significant influence over the data migration process and technology stack.
Opportunity to contribute to the growth and development of a Data team.
Competitive salary and benefits package.
Opportunities for professional development and career growth.
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 Engineer, Data Engineering employer: Socium Recruitment
Contact Detail:
Socium Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Familiarize yourself with Azure and its data services. Since the role involves migrating data to Azure, having hands-on experience or certifications in Azure Data Engineering will give you a significant edge.
✨Tip Number 2
Showcase your experience with SQL and Cosmos DB in your discussions. Be prepared to discuss specific projects where you've successfully managed data migration or architecture design, as this will demonstrate your expertise.
✨Tip Number 3
Highlight any collaborative projects you've worked on that involved Data Science and Machine Learning. This will show that you can effectively integrate these technologies into data systems, which is crucial for this role.
✨Tip Number 4
Prepare to discuss best practices in data management and governance. Being able to articulate your understanding of compliance and industry standards will position you as a knowledgeable candidate who can contribute to the team's growth.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data migration projects, particularly with Azure, SQL, and Cosmos DB. Emphasize any relevant skills in Data Science and Machine Learning integration.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and innovation. Discuss how your background aligns with the company's mission to revamp its data setup and your vision for contributing to the new Data team.
Showcase Your Technical Skills: Be specific about your technical expertise in your application. Mention any relevant projects or experiences that demonstrate your ability to design scalable data architectures and implement best practices in data management.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you have successfully integrated Data Science and Machine Learning models into existing systems.
How to prepare for a job interview at Socium Recruitment
✨Showcase Your Migration Experience
Be prepared to discuss your previous experiences with 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 problem-solving skills and expertise.
✨Demonstrate Technical Proficiency
Make sure to brush up on your SQL and Cosmos DB knowledge, as well as any relevant cloud technologies. Be ready to answer technical questions or even solve problems on the spot to showcase your skills in designing scalable data architectures.
✨Emphasize Collaboration Skills
Since the role involves working with cross-functional teams, be prepared 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 existing systems, as this will show your ability to work effectively in a team environment.
✨Express Your Passion for Innovation
Convey your enthusiasm for data and innovation during the interview. Share ideas on how you would contribute to the growth and development of the Data team, and discuss any new technologies you believe could enhance data processing and analytics capabilities.
