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- Tasks: Join a team to build data pipelines and analytics tools for front office users.
- Company: Work with a major financial player focused on innovative technology solutions.
- Benefits: Enjoy hybrid working in central London and competitive pay, with potential for contract extension.
- Why this job: Be part of a modern engineering culture with exciting AI projects and close collaboration.
- Qualifications: Strong Python skills and experience in data-centric platforms are essential.
- Other info: This role is inside IR35 and offers a chance to influence critical business solutions.
We’re looking for a senior Python engineer to join the front office technology team of a major financial player on a long-term contract. The role sits within a core engineering group that supports multiple investment teams with an increasing focus on Python as the go-to language across the platform.
You’ll be building tooling and infrastructure that directly supports front office users - including data pipelines, execution workflows, and analytics capabilities. The team operates in a modern engineering environment with a strong DevOps culture and close collaboration with investment professionals. They are investing heavily in AI so you will get exposure to interesting projects in this space and also be able to leverage tools to help improve your experience and productivity as an engineer.
What we’re looking for:
- Strong Python engineering background – ideally within front office environments.
- Experience building data-centric platforms or tooling used by PMs, researchers, or risk teams.
- Familiarity with modern CI/CD, cloud-based infrastructure, and containerised deployments.
- Ability to work closely with users and own solutions end-to-end.
The contract is inside IR35 with hybrid working in central London. Initial term is 6 months but highly likely to extend – this is a business-critical buildout that’s still gaining investment.
If that sounds like something you’d be a good fit for, get in touch and I’ll walk you through the details.
Senior/Principal Python Engineer employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Principal Python Engineer
✨Tip Number 1
Make sure to showcase your experience with Python in a financial context. Highlight any projects where you've built data-centric platforms or tools that directly supported front office users, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarise yourself with the latest trends in AI and how they apply to financial services. Being able to discuss relevant AI projects or tools during your conversations can set you apart from other candidates.
✨Tip Number 3
Demonstrate your understanding of modern CI/CD practices and cloud-based infrastructure. Be prepared to discuss specific tools and technologies you've used in previous roles, as this is crucial for the position.
✨Tip Number 4
Emphasise your ability to collaborate closely with users and take ownership of solutions. Share examples of how you've worked with investment professionals or similar stakeholders to deliver successful outcomes.
We think you need these skills to ace Senior/Principal Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python engineering background, especially any experience in front office environments. Include specific projects or tools you've worked on that relate to data-centric platforms.
Craft a Compelling Cover Letter: In your cover letter, emphasise your familiarity with modern CI/CD practices and cloud-based infrastructure. Mention how your skills align with the role's requirements and express your enthusiasm for working in a DevOps culture.
Showcase Relevant Experience: When detailing your work experience, focus on examples where you built tooling or infrastructure that supported users, particularly in financial settings. Highlight any collaboration with investment professionals or teams.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors. Ensure that your language is clear and professional, and that all technical terms are used correctly to reflect your expertise.
How to prepare for a job interview at LinkedIn
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've built data-centric platforms or tooling, especially in front office environments. This will demonstrate your technical proficiency and relevance to the role.
✨Understand the Financial Context
Familiarise yourself with the financial services industry and how Python is used within it. Being able to speak knowledgeably about investment teams, data pipelines, and execution workflows will show that you understand the business needs and can contribute effectively.
✨Emphasise Collaboration Skills
Since the role involves working closely with users and investment professionals, be ready to share examples of how you've successfully collaborated in past roles. Discuss your approach to gathering requirements and delivering solutions that meet user needs.
✨Prepare for DevOps and CI/CD Discussions
Brush up on your knowledge of modern CI/CD practices and cloud-based infrastructure. Be ready to discuss your experience with containerised deployments and how these practices can enhance productivity and efficiency in engineering projects.
