At a Glance
- Tasks: Manage ETL pipelines and drive cloud transformation for financial reporting.
- Company: Leading provider in the Lloyd’s Market with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a chance to impact business-critical processes.
- Why this job: Shape cloud architecture and contribute to significant data migrations.
- Qualifications: Experience with Azure Data Factory, Databricks, and strong data engineering skills.
The predicted salary is between 60000 - 80000 £ per year.
Claims Recruitment Services is seeking a Senior Data Engineer based in London to manage the ETL pipeline for financial reporting and drive cloud transformation projects. The successful candidate will work with Azure Data Factory and Databricks, ensuring data integrity and processing efficiency.
This role offers the chance to shape the cloud architecture of a leading provider in the Lloyd’s Market, engaging with business-critical processes and contributing to significant migrations to modern data platforms.
Senior Data Engineer: Cloud-Native ETL for Finance Close employer: Claims Recruitment Services
Claims Recruitment Services is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and the chance to work on impactful projects that shape the future of financial reporting in the Lloyd’s Market. Join us to be part of a forward-thinking team that values your contributions and supports your career growth.
Contact Details:
Claims Recruitment Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Cloud-Native ETL for Finance Close
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We think you need these skills to ace Senior Data Engineer: Cloud-Native ETL for Finance Close
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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✨Brush Up on Your Statistics
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