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.
responsibilities :
Implement business use cases and processes to the Azure Cloud, using state-of-the art technologies (Databricks, Spark 3, Python)
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
requirements-expected :
Minimum 1-2 years of experience in working with ETL/ELT data and processes (as a python developer or data engineer)
Good knowledge of Python
Theoretical knowledge and hands-on experience with Spark and SQL
Experience in working with various data formats (csv, json, Parquet, Delta)
Familiarity with Azure services: Databricks, Storage, KeyVault
Familiarity with software engineering principles
Practice in using Git and familiarity with CI/CD concepts
Team spirit
Fluent English
Good relationship and capacity to interact directly with client
offered :
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
benefits :
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
retirement pension plan
preferential loans
no dress code
video games at work
coffee / tea
leisure zone
sharing the costs of tickets to the movies, theater
