At a Glance
- Tasks: Lead a dynamic team of engineers and drive innovative market data solutions.
- Company: Join Man Group, a leader in data engineering with a commitment to inclusivity.
- Benefits: Enjoy competitive holidays, flexible working, and unique community volunteering days.
- Other info: Embrace AI tools and contribute to open-source projects in a collaborative culture.
- Why this job: Make an impact in a cutting-edge environment while developing your technical skills.
- Qualifications: 8+ years in software engineering with expertise in Java, Python, and distributed systems.
The predicted salary is between 80000 - 100000 £ per year.
Responsibilities
- Leading a team of six high‑performing engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
- Setting the strategic direction of the team, defining the technical roadmap and aligning it with broader Data Engineering and firm‑wide objectives.
- Remaining a hands‑on engineer, contributing directly to the codebase and leading by example on technical design and implementation.
- Navigating commercial and technical conversations with external data vendors, managing relationships and ensuring the firm’s data needs are met.
- Partnering with internal stakeholders across systematic trading, discretionary research, and technology to translate requirements into successful delivery.
- Driving the adoption of AI‑assisted development tools across the team to accelerate delivery and raise engineering productivity.
- Owning the operational excellence of a multi‑petabyte, low‑latency market‑data platform processing billions of datapoints daily.
Required Qualifications
- 8+ years of professional experience in software engineering.
- Experience with data feeds.
- Experience running and delivering complex projects to an exceptionally high standard.
- Deep knowledge of one or more relevant technologies such as Iceberg, KDB, or Kafka.
- Expertise in distributed systems at scale.
- Strong problem‑solving skills and attention to detail.
- Strong communication and collaboration abilities.
- Experience with performance optimisation and large‑scale data processing.
- Ability to turn stakeholder requirements into successful outcomes.
- Embracing agentic engineering – willingness and ability to work effectively with AI‑assisted development tools as part of daily workflow.
- Strong academic record and a degree with high mathematical and computing content (e.g., Computer Science, Mathematics, Engineering or Physics).
- Deep expertise in Java and Python.
- Proficient on Linux platforms and strong understanding of Git.
- Contributions to open‑source projects.
- Experience working with large language models (LLMs).
Benefits
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long‑term disability coverage, group sick pay, enhanced parental leave and long‑service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Man Group champions equality of opportunity, fostering an inclusive working environment where you can grow and develop your talents. Flexible working arrangements are available, and we offer two annual ‘Mankind’ days of paid leave for community volunteering.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability‑Confident, Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact us.
Engineering Manager - Market Data employer: LGBT Great
Man Group is an exceptional employer that prioritises a culture of technical excellence and collaboration, making it an ideal place for Engineering Managers to thrive. With a strong commitment to employee growth, flexible working arrangements, and a comprehensive benefits package, including enhanced parental leave and community volunteering days, we foster an inclusive environment where your talents can flourish. Join us in shaping the future of market data engineering while enjoying the unique advantages of working in a dynamic and supportive team.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - Market Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their tech stack, and be ready to discuss how your experience aligns with their needs. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Show off your skills! If you’ve contributed to open-source projects or have a portfolio of work, make sure to highlight that during your conversations. We love seeing practical examples of your expertise, especially in areas like Java, Python, and data processing.
✨Tip Number 4
Don’t forget to follow up! After an interview, send a thank-you email expressing your appreciation for the opportunity. It’s a simple gesture that can leave a lasting impression. And remember, apply through our website for the best chance at joining our team!
We think you need these skills to ace Engineering Manager - Market Data
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 8+ years of software engineering experience. We want to see how you've tackled complex projects and what technologies you've mastered, like Java, Python, or any relevant data feeds.
Be Hands-On:Since we value a hands-on approach, share examples of your direct contributions to codebases. Let us know how you've led by example in technical design and implementation – we love seeing that!
Communicate Clearly:Strong communication is key! When you describe your past experiences, focus on how you’ve navigated commercial and technical conversations. Show us how you’ve partnered with stakeholders to deliver successful outcomes.
Embrace AI Tools:We’re all about embracing new tech, so if you’ve worked with AI-assisted development tools, let us know! Share how these tools have helped you improve productivity and drive operational excellence in your projects.
How to prepare for a job interview at LGBT Great
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of relevant technologies like Iceberg, KDB, and Kafka. Be ready to discuss how you've used these in past projects and how they can be applied to the role you're interviewing for.
✨Showcase Your Leadership Skills
As an Engineering Manager, you'll need to lead a team effectively. Prepare examples of how you've fostered collaboration and technical excellence in previous roles. Highlight any experience you have in managing relationships with stakeholders and external vendors.
✨Demonstrate Problem-Solving Prowess
Be prepared to tackle some technical challenges during the interview. Think through your problem-solving process and be ready to explain how you approach complex issues, especially in large-scale data processing and performance optimisation.
✨Embrace AI-Assisted Development
Since the role involves driving the adoption of AI tools, share your experiences with AI-assisted development. Discuss how you've integrated these tools into your workflow and the impact they've had on your team's productivity.
