Job offer

Python Engineer - Client Solutions

As a Python Engineer - Client Solutions, you will be responsible for developing and supporting data infrastructures that power Man Group's client-centric platforms, working closely with London-based teams. You will develop data pipelines and APIs and assist in resolving data quality issues.

Job description: Python Engineer - Client Solutions

Tasks

  • Development and projects (70%):
    • Creating and improving Python data pipelines with Pandas and NumPy
    • Developing data products to quickly meet business needs
    • Collaborate with analytics and quant teams to automate critical business processes
    • Improvement and maintenance of front-office infrastructure for financial data acquisition, analysis, and reporting
    • Contribution to data quality and reporting; automation projects
    • Collaboration with London engineers on cross-functional initiatives
  • Production support (30%):
    • Investigating data quality issues with SQL across multiple databases
    • Management of user access (databases, workflows, reporting systems)
    • Troubleshooting production incidents and providing solutions
    • Triage of stack support requests and creation of third-level tickets
    • Maintenance of documentation and runbooks

Requirements

  • Key competencies:
    • Strong Python skills: well-documented, tested, modular code; ODP, data frames, type hints, docstrings, design
    • Pandas/NumPy: Creating efficient data pipelines and manipulations
    • SQL: Expertise in complex queries, joins, stored procedures, indexes, query optimization
    • Working with data, test frameworks; interpreting results
    • CI & Visual Environments: Practical work skills
    • Self-starter with proven personal projects or open-source contributions
    • Digital operating systems: Collaboration with different teams
    • Design experience: Computer science, mathematics, engineering, physics, or related field
  • Advantageous characteristics (not required):
    • Experience with Luigi, Airflow, Beam, or other data visualization frameworks
    • Experience with front office technology (hedge funds, investment bank)
    • Familiarity with Spark, Reka, or distributed computing
    • Rust/Typescript or web development
    • Experience with FastAP/Flask/Spring

We offer

  • Hybrid working model
  • Competitive remuneration package
  • 22 days of vacation pay
  • Premium health insurance
  • Employee Assistance Program
  • Transfer bonus
  • Additional days off for long service and volunteering
  • overtime
  • Opportunities for professional development, including internal tech talks
  • Conference participation and involvement in the open source community

Job details

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