Senior Python Engineer

Job description

Tasks

• You will be part of the Data Platform Engineering team, which is part of the Data & Machine Learning department.
• The platform, called Cobix, serves as Man Group's central data platform.
• The main tasks include:
  • Data acquisition: Onboarding of new data records on Cobix, ETL and CDC pipelines and indexing of data.
  • Data management: standardizing data sets, enabling discovery, enforcing data quality and data provenance.
  • Data provision: Provision of a standardized interface for thousands of data records.
• You will work on the development and implementation of data products that must meet the highest internal requirements.

Requirements

Required skills

• 3+ years of professional experience in software development, ideally in Python.
• Strong experience with high performance computing, e.g. building architectures in high performance computing content.
• Knowledge of Python, excellent communication skills.
• Good software writing and software architecture skills.
• In-depth knowledge of one or more relevant database technologies such as Snowflake, PostgresSQL, Cassandra or TimescaleDB.

Desired skills

• Strong interest in solving data-related challenges on a large scale.
• Mastery of at least one programming language; modern software development principles; and clean code.
• Self-organizing with the ability to manage time effectively across multiple projects and with computer business needs and priorities.
• Strong interpersonal skills; able to maintain a close working relationship with quantitative researchers, technology, vendor and high-level business partners.
• Self-starter attitude; able to lead, motivate and communicate effectively with the team; and deliver.

Attributes

• In-depth knowledge of data models, data techniques and methodologies.
• Experience with one or more relevant databases or open table formats, e.g. Apache Iceberg, PostgresSQL.
• Practical experience with financial data providers and understanding of market data structures.
• Practical experience with large, well-managed data warehouses; data quality; data origin.
• Bachelor's degree or equivalent with 8+ years of experience working with data and projects in the enterprise.
• Confident communicator; able to present concisely and deal positively with conflicting views.
• Experience with our trading tools: Unix; /Linux; / Unix; FIX; etc.

We offer

• Opportunities to make a difference through our charitable and global initiatives.
• Career advancement through professional development.
• Flexible working arrangements.
• Comprehensive benefits package, including competitive vacation entitlement; pension/VSR/RS benefits; and long-term benefits.