Senior Python Engineer

Job description

About the job

Tasks

• You will be part of the Data Platform Engineering team as part of the Data & Machine Learning department.
• Our platform enables data scientists, machine learning engineers and data engineers to focus on their core tasks.
• The platform consists of three main pillars:
• Data Acquisition - an ETL/ELT platform for research and production that scales to multi-terabyte datasets.
• Data Exploration - a catalog of thousands of data sets across Man Group that enables discovery, exploration, data quality and end-to-end data lineage.
• Code Delivery - a self-service data science platform with a predefined tech stack.
• You will work on the development and implementation of solutions and problems.
• The technology teams at Man Group have a start-up feel and are a close-knit team of around 20 people.

Role responsibilities

• We are looking for a high performing Python Engineer to join our engineering team at Man Group's control data platform, called Codex.
• Projects receive more than just a quick fix or a high-grade patch.
• We have hundreds of internal users and everything you work on will be used by teams across the organization for years to come.

Requirements

Essential skills

• 5+ years of professional experience in software development, ideally in Python.
• A strong academic background and a university degree with a high mathematical and computational content, e.g. computer science, mathematics, physics, finance.
• Proven track record of successful collaboration in cross-functional teams with excellent communication skills, both written and verbal.
• Experience in building reliable, production-ready applications.
• In-depth knowledge of one or more relevant database technologies such as Snowflake, PostgreSQL, Cassandra, etc.
• Strong interest in solving data-related challenges on a large scale.
• Mastery of at least one programming language, mastery of software development principles and clean code practices.
• Self-motivated with the ability to manage time effectively across multiple projects and with competing priorities.
• Interpersonal skills to establish and maintain a close working relationship with quantitative researchers, data engineers and software engineers across the organization.
• A self-starter who can seize opportunities, communicate them effectively and deliver.

Advantages

• In-depth knowledge of data modeling, databases, knowledge graphs, mediation architecture.
• Familiarity with one or more relevant databases or data formats, e.g. Apache Ignite, PostgreSQL, Snowflake etc.
• Experience of working with large and unstructured data sets.
• Experience with the interface to financial data providers and understanding of market structures.
• Experience with data quality and data lineage management.
• Experience with data visualization tools; Tableau, D3.js, Power BI, etc.
• Interest in contributing to projects, willing to actively participate in data and projects across the organization.
• Trust with stakeholders; can distill and communicate conflicting views.
• Experience with our booking stack: Linux, Unix, Git, CI, Slack etc.

We offer

• A working environment that promotes equal opportunities.
• A comprehensive learning and development program to help people grow, develop their talents and foster an inclusive environment for everyone in the company.
• A range of initiatives to make the most of your life outside work.
• Possibilities