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.
• They will work on the development of platforms that enable data scientists to focus on the delivery of data products.
• You will work on the following projects:
  • Data Acquisition: Development of an ETL/ELT platform for research and production that scales to multi-terabyte data sets.
  • Observability: Cataloging the lineage of data assets across Men to enable discovery, authorization, data quality and end-to-end data lineage.
  • Code Delivery: Provide a self-service platform to curate across thousands of records with known scaling, identifier mapping and UX.

Requirements

Essential skills

• 3+ 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 or finance.
• Proven track record of successful collaboration in cross-functional teams, with excellent communication skills and a track record of on-time delivery.
• Experience in building reliable, production-ready applications.
• In-depth knowledge of one or more relevant database technologies, such as Snowflake, PostgreSQL and Cassandra.
• 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 best practices.
• Self-motivated with the ability to manage time effectively across multiple projects and with competing priorities.
• Interpersonal skills and proactivity to build and maintain close working relationships with quantitative researchers, data scientists and software engineers across locations.
• A self-starter who can seize opportunities, communicate them effectively and deliver.

Advantages

• In-depth knowledge of data modeling, data lakes/warehouses, mediation architecture.
• Familiarity with one or more relevant databases or data lake formats, e.g. Apache Ignite, PostgreSQL, Snowflake etc.
• Experience of working with large and unstructured data sets.
• Experience with the interface to traditional database systems or understanding of market data structures.
• Experience with data lineage and understanding of finance; with the ability to work effectively across different teams and seniority levels.
• Stakeholder management skills with proven ability to work effectively with different teams and levels of seniority.
• Certification, e.g. Certified Data Scientist; or willingness to be certified with conflicting views.
• Hands-on experience with leading tools: Unix, Linux, GIT, Linux, Black, etc.

We offer

• A working environment that promotes equal opportunities.
• A comprehensive learning and development program.
• Regular wellbeing activities.
• Opportunities to make a difference through our charitable and global initiatives.
• Flexible/remote working arrangements.
• A comprehensive benefits package, including competitive vacation entitlements, pension and life insurance, and flexible working hours.