At a Glance
- Tasks: Lead data engineering projects and design robust data pipelines using Quantexa.
- Company: Join KPMG, a leading firm with a collaborative and innovative culture.
- Benefits: Enjoy flexible working options, competitive salary, and professional development opportunities.
- Other info: Hybrid work model with excellent career growth potential.
- Why this job: Make an impact by solving complex data challenges in a dynamic environment.
- Qualifications: Experience in Scala, Python, and Databricks, plus strong collaboration skills.
The predicted salary is between 59400 - 72600 £ per year.
KPMG LLP is hiring a Senior Data Engineer to lead Quantexa-based data engineering and integration projects from London and across the UK network.
You will design robust data pipelines, configure Quantexa components, and collaborate with architects and client stakeholders on complex solutions.
Office-based with flexible working options.
The role emphasizes hands-on development in Scala, Python, and Databricks, plus exposure to Dev Ops practices and enterprise data governance.
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Senior Quantexa Data Engineer - Hybrid UK employer: KPMG LLP
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We think this is how you could land Senior Quantexa Data Engineer - Hybrid UK
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We think you need these skills to ace Senior Quantexa Data Engineer - Hybrid UK
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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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
