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- Tasks: Lead data migration initiatives to AWS, ensuring data integrity and minimal downtime.
- Company: Join Quantiphi, an award-winning AI-first digital engineering company.
- Benefits: Remote work, competitive salary, and exposure to cutting-edge technologies.
- Other info: Work with Fortune 500 companies and enjoy excellent career growth opportunities.
- Why this job: Shape the future of AI and cloud innovation while tackling complex business challenges.
- Qualifications: 8+ years in database migration and strong AWS data engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations.
Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.
We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs.
The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development.
- Lead end-to-end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms.
- Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift.
- Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss.
- Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR.
- Architect and implement scalable, secure, and highly available data platforms on AWS.
- Optimize performance of source and target systems pre- and post-migration.
- Manage and govern S3-based data lakes and metadata using Glue Data Catalog.
- Implement monitoring, rollback, and failure recovery mechanisms.
Requirements:
- 8+ years of experience in database migration and data engineering.
- Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud).
- Experience designing and implementing data validation and reconciliation frameworks.
- Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent).
- Deep proficiency in SQL and data modeling concepts.
- Experience working with S3-based data lakes and Glue Data Catalog.
- Hands-on experience with performance tuning, schema design, and query optimization.
- Proficiency in Python/PySpark and scripting (Shell/Python).
- Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases.
- AWS DMS (Database Migration Service).
- AWS SCT (Schema Conversion Tool).
- AWS Glue (ETL & data integration).
- Amazon Redshift (data warehousing).
- Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening.
- Experience with Lake Formation and data governance frameworks.
- Familiarity with Data Mesh and cross-account data sharing architectures.
- Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.).
- AWS Certifications (Solutions Architect / Data Engineer).
Make an impact at one of the world’s fastest-growing AI-first digital engineering companies. Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
Cloud Data Engineer, hibrido employer: Quantiphi
Contact Detail:
Quantiphi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer, hibrido
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data migration projects or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AWS and data engineering. Practice articulating your experience with database migrations and ETL processes to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Cloud Data Engineer, hibrido
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cloud Data Engineer role. Highlight your experience with AWS, data migration, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and cloud technologies. Share specific examples of your past work that align with our mission at Quantiphi. Let us know why you’re the perfect fit!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in your application. Mention your proficiency in SQL, Python, and any experience with AWS services like Glue and Redshift. We love seeing candidates who are hands-on with the tools we use!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Quantiphi
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around services like DMS, Glue, and Redshift. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Migration Experience
Prepare specific examples of your experience with cross-platform database migrations. Quantiphi will want to hear about your strategies for ensuring data integrity and minimising downtime during migrations, so have those stories ready to share.
✨Demonstrate Your Data Pipeline Skills
Be prepared to talk about your experience designing and optimising ETL/data pipelines. Highlight any projects where you used PySpark or EMR, and be ready to explain your approach to performance tuning and schema design.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in Quantiphi's work and culture. Inquire about their current projects involving AI and cloud technologies, or how they approach data governance and security in their solutions.