At a Glance
- Tasks: Lead the design and development of real-time data platforms for finance.
- Company: Dynamic investment management firm focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a collaborative team with a focus on career advancement.
- Why this job: Make a significant impact in finance with cutting-edge technology and leadership.
- Qualifications: Strong Java and Python skills, experience in financial markets, and technical leadership.
The predicted salary is between 63000 - 77000 £ per year.
My client seeks a hands-on
Lead Developer to take technical ownership of real-time and historical data platforms supporting Portfolio Managers, Traders and Quant teams.
The role combines architecture, technical leadership and hands-on development.
You will lead the design of scalable data services, integrate market-data and time-series platforms, and establish engineering standards across performance, resilience, data quality and observability.
Key Responsibilities
- Lead the design and delivery of real-time and historical investment data platforms.
- Build scalable services supporting market data, trading, portfolio and analytics workflows.
- Integrate platforms such as
One Tick and market-data providers including Bloomberg and Refinitiv.
- Design schemas, partitioning strategies and data lifecycle models for large-scale intraday and historical datasets.
- Optimise query performance and data-access patterns for front-office users.
- Work closely with architects, engineers and business stakeholders to make pragmatic technical decisions.
- Remain hands-on in the design and development of critical platform components.
- Own production stability, monitoring, alerting and incident management during trading hours.
- Identify performance bottlenecks, scalability risks and operational weaknesses.
- Review code and designs and mentor engineers across the team.
- Required Experience
- Strong experience building real-time data platforms within investment management or financial markets.
- Hands-on development expertise in Java and Python.
- Experience building scalable services on AWS.
- Strong knowledge of real-time streaming and messaging technologies.
- Experience with One Tick, time-series databases or similar analytical platforms.
- A deep understanding of financial time-series data, including high volumes, bursty data, corrections and late-arriving data.
- Experience designing scalable schemas and query models for intraday and historical analytics.
- Strong understanding of market data, orders, executions, positions, portfolios and pricing.
- Experience balancing latency, storage efficiency and analytical flexibility.
- Familiarity with vendor data ecosystems such as Bloomberg, Refinitiv or Market Axess.
- Experience delivering systems used directly by Portfolio Managers, Traders and Quant teams.
- Proven technical leadership, architecture and mentoring experience.
- Desired Skills and Experience
- Java Python AWS
Mc Gregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
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Lead Developer - Real-Time Data Platforms Java, Python, AWS in London employer: McGregor Boyall
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StudySmarter Expert Advice🤫
We think this is how you could land Lead Developer - Real-Time Data Platforms Java, Python, AWS in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Lead Developer - Real-Time Data Platforms Java, Python, AWS in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at McGregor Boyall.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at McGregor Boyall and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at McGregor Boyall
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If McGregor Boyall uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.