At a Glance
- Tasks: Join our team to engineer scalable data solutions and optimise platform governance.
- Company: Capgemini Sogeti, a leader in innovative tech solutions.
- Benefits: Enjoy hybrid working, ongoing learning, and a supportive work culture.
- Other info: Great opportunities for career growth and skill development.
- Why this job: Make an impact with cutting-edge data technologies while balancing work and life.
- Qualifications: Experience in Azure Databricks and a passion for data engineering.
The predicted salary is between 67500 - 82500 £ per year.
Capgemini Sogeti is seeking an Azure Databricks Engineer to join our ACT Practice in the UK.
The role blends office, client site, and home working to deliver scalable data engineering and platform governance across projects.
You will contribute to Databricks platform engineering, data ingestion pipelines, and REST API integrations while aligning with business goals and cost optimisations.
Hybrid working and ongoing learning are emphasized.
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Azure Databricks Platform Engineer — Hybrid UK in London employer: Sogeti
Capgemini is an exceptional employer that fosters a dynamic and inclusive work culture, empowering employees to thrive in their careers. With a strong focus on professional development and collaboration, particularly in the innovative field of Google Cloud solutions, team members enjoy unique opportunities for growth and engagement with industry leaders. Located in the vibrant UK market, Capgemini offers a stimulating environment where creativity and strategic thinking are highly valued, making it an ideal place for those seeking meaningful and rewarding employment.
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We think this is how you could land Azure Databricks Platform Engineer — Hybrid UK in London
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We think you need these skills to ace Azure Databricks Platform Engineer — Hybrid UK in London
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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✨Prepare for Case Studies
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