At a Glance
- Tasks: Lead the development of data engineering capabilities and architect scalable data pipelines.
- Company: Join Ernst & Young, a global leader in professional services.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Dynamic team environment focused on innovation and collaboration.
- Why this job: Make a real impact in financial services by enabling real-time decision-making.
- Qualifications: Proven experience in data transformation and strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
Ernst & Young in London seeks a Senior Manager to lead the development of the Data Engineering Capability with initial focus on Databricks on Azure.
The role requires a proven track record delivering data transformation programmes in financial services and strong leadership to grow high-performing teams.
You will architect scalable data pipelines, drive governance and security, and collaborate across risk, trading and compliance to enable real-time decision-making and ML-ready data platforms.
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Senior Databricks Architect for AI & Data on Azure in London employer: Ernst & Young
Ernst & Young is an exceptional employer that prioritises employee development and fosters an inclusive culture, making it a great place for professionals seeking to advance their careers in tax and transactions. With a focus on work-life balance and the opportunity to engage with a diverse client base in vibrant cities like London, Manchester, Glasgow, and Edinburgh, employees can expect meaningful work that contributes to both personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Architect for AI & Data on Azure in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Databricks Architect for AI & Data on Azure 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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Craft a Tailored Cover Letter:For a full-time role at Ernst & Young, 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 Ernst & Young. 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 Ernst & Young
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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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!
✨Get Comfortable with Python and R
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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.
