Ingeniero Python Senior - Datos en Tiempo Real

Arrival NYC; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Two annual Mankind days of paid leave

Private medical coverage

Enhanced parental leave

Pension plan

Job summary

Man Group is seeking a Senior Python Engineer to join the Streaming Data team in our Data Platform Engineering organisation. You will help architect a multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources using a stack including Java, Python, Kafka, ArcticDB, and MongoDB.

You will collaborate with quant researchers and traders, tackle complex distributed systems challenges, and drive reliability and delivery using AI-assisted tools.

Qualifications

• 5+ years of professional experience in software engineering with Java or Python 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
• Strong problem-solving skills and attention to detail
• Strong communicationand collaboration abilities
• Ability to work independently and gather requirements from stakeholders

Responsibilities

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

Tools

Python

Java

Linux

Git

Kafka

ArcticDB

MongoDB

PostgreSQL

Iceberg

Job description

Man Group is seeking a Senior Python Engineer to join the Streaming Data team in our Data Platform Engineering organisation. You will help architect a multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources using a stack including Java, Python, Kafka, ArcticDB, and MongoDB.

You will collaborate with quant researchers and traders, tackle complex distributed systems challenges, and drive reliability and delivery using AI-assisted tools.