At a Glance
- Tasks: Build scalable data pipelines and design ETL workflows using Azure Databricks.
- Company: Join a leading financial services client in a dynamic hybrid environment.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a fast-paced industry.
- Why this job: Make an impact by optimising data processes and collaborating with diverse teams.
- Qualifications: Strong Azure experience, Scala skills, and excellent communication are key.
Korn Ferry is seeking a Data Software Engineer - Azure Databricks to join a London-based financial services client in a hybrid setup. The role focuses on building scalable data pipelines using Azure Databricks and related Azure services to process large datasets efficiently.
The candidate will collaborate across teams, design ETL workflows, optimize performance, and ensure code quality. Strong Azure experience, Scala proficiency, and excellent communication are essential for success.
#J-18808-LjbffrSenior Azure Databricks Data Engineer — Hybrid London employer: Korn Ferry
Korn Ferry is an exceptional employer that prioritises diversity and inclusion, fostering a collaborative work culture in the heart of Greater London. With a strong focus on employee growth, we offer numerous opportunities for professional development and leadership advancement, making it an ideal environment for those looking to make a meaningful impact in assessment and succession planning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Databricks Data Engineer — Hybrid London
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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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