Python Software Engineer for Big Data

Expected

Operating system

We are building the next generation of Data Platform for Asset Management. We build, operate and support tools and services dedicated to store, transform, and distribute data related to several use-cases: Responsible Investment, Quantitative Research, Referential Data Management, Data Science and trading.

You will join the Data Platform team that is responsible for designing, implementing, and running cloud-native data solutions. Team members will be either integrating a team of 4 to 6 experienced data engineers or an engineering/data science squad that use the platform daily to service business needs on specialized use cases.

• Implement business use cases and processes to the Azure Cloud, using state-of-the art technologies (Databricks, Spark 3, Python)
• Onboard business teams directly on the new Data Platform
• Gather engineering requirements for data use cases
• Develop and maintain shared libraries (data pipeline development, data lineage)
• Participate to the data onboarding of third-party data providers (e.g. Bloomberg, Simcorp)
• Expose data via APIs

Optional

This is how we work

Team members

• Clean Code
• code quality measures
• code review
• static code analysis
• pair programming
• architect / technical leader support
• Continuous Deployment
• Continuous Integration
• DevOps
• active monitoring
• documentation
• issue tracking tools
• functional tests
• integration tests
• performance tests
• regression tests
• test automation
• manual tests

• conferences in Poland
• development budget
• external training
• industry-specific e-learning platforms
• intracompany training
• soft skills training
• substantive support from technological leaders
• technical knowledge exchange within the company

• Opportunity to work in international financial organization
• Autonomy
• Stable, long term assignment
• Flexible working hours and home office (hybrid work)
• Work in a good atmosphere, supportive teams, among employees who are willing to share their knowledge, among others as part of internal development initiatives

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• fruits
• integration events
• corporate gym
• corporate sports team
• preferential loans
• no dress code
• video games at work
• coffee / tea
• parking space for employees
• leisure zone
• sharing the costs of tickets to the movies, theater
• christmas gifts
• employee referral program

AXA IT Solutions