At a Glance
- Tasks: Design and implement robust data pipelines using Quantexa solutions.
- Company: Join a global tech leader known for innovation and excellence.
- Benefits: Competitive salary, car allowance, pension, and extensive training opportunities.
- Other info: Hybrid work model with a supportive and dynamic team environment.
- Why this job: Elevate your career with unlimited progression in a prestigious brand.
- Qualifications: Experience in Spark, Scala, Python, and familiarity with DevOps tools.
The predicted salary is between 60000 - 75000 £ per year.
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for an experienced Quantexa Data Engineer with significant experience leading the technical development of Quantexa-based solutions. You will be tasked with designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.
We are seeking a Certified Senior Quantexa Data Engineer with significant experience of designing and implementing Quantexa solutions and leading client data engineering or integration projects for established clients. The successful candidate will have strong knowledge of Spark, Scala and Python Databricks. Any experience of DevOps and CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps would be beneficial, as would familiarity with Docker and Kubernetes, but training will be provided.
We are keen to hear from talented Quantexa Data Engineers from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: Leeds / Hybrid
Salary: £60k - £75k + Car + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
Senior Quantexa Data Engineer - Leeds / Hybrid employer: Noir Careers
Join a leading financial services organisation in London that prioritises innovation and employee development. With a collaborative work culture, you will have access to continuous learning opportunities and the chance to shape technology strategies that drive business success. Enjoy the benefits of a hybrid working model, competitive remuneration, and a supportive environment that values your expertise and contributions.
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We think this is how you could land Senior Quantexa Data Engineer - Leeds / Hybrid
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We think you need these skills to ace Senior Quantexa Data Engineer - Leeds / Hybrid
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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Craft a Tailored Cover Letter:For a full-time role at Noir Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Noir Careers. 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!
How to prepare for a job interview at Noir Careers
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
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.
