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- Tasks: Build a cutting-edge data platform from scratch using Python and automate manual processes.
- Company: Join a leading financial services organisation with a focus on innovation.
- Benefits: Enjoy a competitive salary, benefits, and a 10% year-end bonus.
- Other info: Flexible industry background; thrive in a fast-paced, dynamic environment.
- Why this job: Be part of a transformative project that enhances investment reporting accuracy.
- Qualifications: Strong Python skills and experience in data analytics are essential.
The predicted salary is between 60000 - 80000 £ per year.
Location: Central London (Hybrid - 3 days in office / 2 days remote)
Contract: 12-month Fixed-Term Contract (with benefits + 10% year-end bonus)
We are working with a leading financial services organisation to hire two Python-focused Data Engineers to support a major greenfield data transformation programme within its Investments and Finance functions.
These roles will sit across Shared Services, working closely with senior investment leadership and cross-functional stakeholders to design and build a consolidated data platform from scratch. This is a rare opportunity to join a ground-up build of a strategic data solution. The successful candidates will play a key role in replacing manual data processes with an automated, scalable Python-based architecture, enabling more accurate and consistent investment reporting across the business.
- Build a consolidated data platform from scratch using Python
- Automate existing manual data processes across investment and finance data sets
- Design and implement scalable data solutions to improve reporting accuracy and consistency
- Adapt to shifting priorities in a fast-paced environment
Requirements:
- Strong expertise in Python (this is the core requirement)
- Experience in data analytics and data manipulation
- Exposure to AI tooling or applied data science techniques
- Strong Python engineer with a data-focused background
- Agile and adaptable to changing business priorities
- Industry background is flexible (financial services experience not essential)
Senior Python/Data Engineer in London employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python/Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially around data transformation and Python solutions. We recommend practising common interview questions and even some technical challenges to showcase your skills.
✨Tip Number 3
Showcase your projects! Whether it’s a GitHub repository or a portfolio of your work, having tangible examples of your Python expertise and data engineering projects can really set you apart. We love seeing what you can do!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals who are ready to make an impact in the data world.
We think you need these skills to ace Senior Python/Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python expertise and any relevant data engineering experience. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this greenfield project and how your background makes you the perfect fit. Let us know what drives you in the world of data engineering.
Showcase Your Projects: If you've worked on any cool projects involving Python or data manipulation, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to building scalable solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Morgan McKinley
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially how you've used it to automate processes or build data solutions. Prepare to showcase specific projects where you've implemented Python effectively.
✨Understand the Business Context
Familiarise yourself with the financial services industry and the specific challenges it faces regarding data management. This will help you demonstrate how your skills can directly contribute to the company's goals, especially in building a consolidated data platform from scratch.
✨Prepare for Technical Questions
Expect technical questions that assess your data engineering skills. Practice explaining your thought process when designing scalable data solutions and automating manual processes. You might also want to review common data manipulation techniques and be ready to solve problems on the spot.
✨Show Your Adaptability
Since the role requires adapting to shifting priorities, be prepared to discuss examples from your past where you've successfully navigated changes in project scope or direction. Highlight your agile mindset and how you thrive in fast-paced environments.