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For Companies At a Glance
- Tasks: Lead the development of a cutting-edge Equity Data Platform using Python.
- Company: Join a leading global Investment Bank with a focus on innovation.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Why this job: Shape the future of finance by building impactful data solutions from the ground up.
- Qualifications: Strong Python experience and a background in high-performance data environments.
- Other info: Be part of a dynamic team with excellent career advancement potential.
The predicted salary is between 72000 - 108000 £ per year.
A leading global Investment Bank is embarking on a major greenfield build-out of an Equity Data Platform as part of a multi-year strategic data transformation programme for the Equities business. This is a rare opportunity to take a foundational engineering role, shaping the platform architecture, technology choices, and long-term roadmap from day one.
You will be at the centre of a high-impact initiative to design and deliver a scalable, cloud-ready data platform supporting Equities trading, research, analytics, and risk. As the platform grows, you will also have the opportunity to build and lead a team from the ground up, helping to define engineering culture, processes, and best practices.
The Role
This is a hands-on senior engineering position focused on delivering a modern Python-based data ecosystem for the bank's Equity business lines. You will collaborate with trading, quant, and data strategy teams to build high-performance data pipelines, ingestion frameworks, transformation layers, APIs, and services.
Key Responsibilities
- Build and architect a greenfield Equity Data Platform supporting trading, analytics, and regulatory workflows.
- Design and implement Python-based data services, frameworks, and pipelines across structured and unstructured datasets.
- Establish modern engineering practices across testing, automation, CI/CD, observability, and deployment.
- Define data models, ingestion strategies, governance patterns, and storage architectures.
- Drive adoption of scalable cloud-ready solutions aligned with the bank's overall data strategy.
- Collaborate with quants, trading desks, data engineers, and platform teams to deliver performant, reliable systems.
- Take a leadership role in growing and mentoring a new engineering team as the platform matures.
- Influence long-term architectural decisions and technology choices across the data estate.
Key Skills & Experience
Essential
- Strong experience building large-scale Python data platforms, pipelines, or backend services.
- Proven background in high-performance, mission-critical environments (ideally Equities, trading, or financial data).
- Experience with modern data engineering tooling (streaming, orchestration, storage, APIs).
- Strong understanding of data modelling, ETL/ELT pipelines, and data lifecycle management.
- Knowledge of distributed systems, microservices, or cloud-native architectures.
- Experience implementing testing, CI/CD, and automation in modern engineering setups.
- Excellent communication skills with the ability to work closely with Front Office and quant stakeholders.
Desirable
- Experience in Equities or Equity Derivatives data sources, analytics, or trading workflows.
- Exposure to cloud platforms (Azure, AWS, or GCP).
- Experience hiring, mentoring, or leading small engineering teams.
- Familiarity with Apache Spark, Kafka, Delta Lake, or similar data technologies.
Apply Now to avoid disappointment!
Lead Python Engineer - Director - Equities employer: Huxley Associates
Contact Detail:
Huxley Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Python Engineer - Director - Equities
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to Python engineering and equities. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data platforms or financial applications. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions, especially those related to data engineering and team leadership. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Python Engineer - Director - Equities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Python Engineer role. Highlight your experience with Python data platforms and any relevant projects that showcase your skills in building scalable systems. We want to see how you can contribute to our greenfield Equity Data Platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Don’t forget to mention your experience in high-performance environments and your vision for the future of data engineering.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially around Python, data pipelines, and cloud technologies. We’re looking for someone who can hit the ground running, so let us know how you’ve used these skills in past roles!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Huxley Associates
✨Know Your Python Inside Out
As a Lead Python Engineer, you’ll need to showcase your expertise in building large-scale data platforms. Brush up on your Python skills, especially around data pipelines and backend services. Be ready to discuss specific projects where you've implemented these technologies.
✨Understand the Business Context
Familiarise yourself with the Equities market and how data plays a role in trading and analytics. This will help you connect your technical skills to the business needs during the interview. Prepare examples of how your work has impacted trading or financial data environments.
✨Showcase Your Leadership Skills
Since this role involves building and leading a team, be prepared to discuss your leadership style and experiences. Share examples of how you've mentored others or influenced engineering culture in previous roles. Highlight your approach to fostering collaboration among teams.
✨Prepare for Technical Questions
Expect in-depth technical questions about data modelling, ETL/ELT processes, and cloud-native architectures. Practice explaining complex concepts clearly and concisely. You might also want to prepare for coding challenges or system design discussions relevant to the role.
