At a Glance
- Tasks: Lead the implementation of Azure Databricks and optimise data engineering solutions.
- Company: Join Capgemini, a leader in tech innovation and collaboration.
- Benefits: Enjoy hybrid working, competitive salary, and comprehensive pre-employment checks.
- Other info: Dynamic work environment with opportunities for professional growth.
- Why this job: Make an impact by driving value through scalable data solutions.
- Qualifications: Strong skills in Python, PySpark, SQL, and REST API integration required.
The predicted salary is between 63000 - 77000 Β£ per year.
Capgemini is seeking an Azure Databricks Engineer to join our ACT Practice in the UK, delivering scalable data engineering solutions.
You will implement Databricks platforms, optimize workloads, and partner with Data Engineers and Data Scientists to drive value.
Strong Python, Py Spark, and SQL skills are essential, along with REST API integration and cost-aware operations.
Hybrid working spans offices, client sites, and home, with comprehensive pre-employment checks.
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Azure Databricks Tech Lead β Hybrid UK in Manchester employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
StudySmarter Expert Adviceπ€«
We think this is how you could land Azure Databricks Tech Lead β Hybrid UK in Manchester
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We think you need these skills to ace Azure Databricks Tech Lead β Hybrid UK in Manchester
Some tips for your application π«‘
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capgemini. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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β¨Brush Up on Your Statistics
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