Python Engineer - Client Solutions

Job description: Python Engineer - Client Solutions

Tasks

• Development & Projects (70%)
  • Creating and improving Python data pipelines with Pandas and NumPy
  • Working with SQL, data warehouses, and data lakes
  • Collaboration with analysts and quants to automate critical business processes
  • Improvement and maintenance of front-office infrastructure for financial data retrieval, analysis, and reporting
  • Coordination of 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, Tableau, reporting systems)
  • Responding to customer inquiries and escalations
  • 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; OOP, 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: data mining, data cleansing, interpretation of results
  • HD and visual environments: practical working knowledge
  • Digital asset management: Working on challenging projects with minimal supervision
  • Degree in computer science, mathematics, engineering, physics, or a related field
  • Self-starter: with verifiable personal projects or open-source contributions
  • Digital content management: with minimal supervision
  • Clear communicator: thoroughly documented investigations
  • Relational and SQL databases: strong data skills; experience with Data Lake, ClickHouse
  • Mindset that focuses on 'how' before implementing something
• Advantageous skills
  • Data visualization: Knowledge
  • Experience with Matplotlib, Dash, Streamlit, Tableau, or other data visualization frameworks
  • Front office technology: experience (hedge funds, investment bank)
  • Familiarity with Spark, Kafka, or distributed computing
  • Hands-on/TypeScript: Web Development
  • Experience with FastAPI/Starlette/Ungrid

We offer

• Hybrid working model
• Competitive remuneration package
• 22 days of vacation pay
• premium insurance
• Employee Assistance Program
• Mental bonus system
• Additional 10 days off for long service and volunteer work
• Opportunities for professional development, including internal technical days
• Conference participation and involvement in the open source community