Python Software Engineer - Data Infrastructure

United Kingdom | Nov. 11, 2026

Report as Closed

Company: Man Group

Country: United Kingdom

Type: Onsite

Employment: Full-time

Description:

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings.

Headquartered in London, we manage $253.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index.

Join our Data Platform Engineering team at the heart of a quantitative investment firm, powering the data infrastructure which drives our systematic trading strategies and cutting-edge discretionary research.

As a Python Engineer, you’ll help architect our multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources. Our stack combines Java and Python, with foundations of Kafka, ArcticDB, Airflow, Spark, and more. This is an opportunity to tackle complex distributed systems challenges at an exceptional scale across thousands of unique datasets.

Role Responsibilities

• Build and ship features on a high-throughput platform processing billions of market data points and thousands of files daily
• Tackle hard distributed systems problems at a scale few Engineers encounter
• Work closely with quant researchers and traders to turn complex requirements into elegant platform solutions
• Drive platform reliability through rigorous incident response, root-cause analysis, and systemic fixes
• Raise the engineering bar through thoughtful code review and mentoring of junior team members
  

Essential

• 4+ years of professional experience in software engineering with Python or Java as your primary language
• Proficient on Linux platforms and strong understanding of Git
• Deep knowledge of one or more relevant database technologies such as Iceberg, PostgreSQL, or MongoDB
• Embracing agentic engineering: willingness and ability to work effectively with AI-assisted development tools as part of daily workflow
• stakeholders

Advantageous

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics
• Familiarity with distributed systems and orchestration
• Experience with performance optimization and large-scale data processing
• Contributions to open-source projects
• Experience with market data
• Expertise in streaming or real-time data processing

Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.

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 provides equal employment opportunities to all applicants and all 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.

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