At a Glance
- Tasks: Build and maintain data pipelines for EMEA regulatory reporting using Python and SQL.
- Company: Join Deloitte and work with a leading capital markets firm in London.
- Benefits: Enjoy competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement opportunities.
- Why this job: Make an impact in the fast-paced world of capital markets and regulatory compliance.
- Qualifications: Solid SQL experience and hands-on skills with Apache Airflow required.
The predicted salary is between 60000 - 80000 £ per year.
Deloitte - Recruitment is looking for Data / Python Engineers to work with a leading capital markets firm in London. This full-time role focuses on building and maintaining data pipelines for EMEA regulatory reporting.
The successful candidate will have:
- Solid SQL experience
- Hands-on skills with Apache Airflow
- Experience working in a fast-paced environment
- Strong knowledge of capital markets and regulatory regimes
Data & Python Engineer for EMEA Regulatory Reporting employer: Deloitte - Recruitment
Deloitte offers an exceptional work environment for Data & Python Engineers, providing a dynamic and collaborative culture that fosters innovation and professional growth. Located in the heart of London, employees benefit from access to cutting-edge technology and resources, alongside opportunities for continuous learning and development within the capital markets sector. With a strong emphasis on work-life balance and employee well-being, Deloitte stands out as a rewarding employer committed to nurturing talent and driving impactful change.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Python Engineer for EMEA Regulatory Reporting
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We think you need these skills to ace Data & Python Engineer for EMEA Regulatory Reporting
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Deloitte - Recruitment, 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 Deloitte - Recruitment. 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 Deloitte - Recruitment
✨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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Deloitte - Recruitment!
✨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.
