Informacje o stanowisku

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.

• Minimum 4 years of commercial experience in working with ETL/ELT data and processes (as a python developer or data engineer)
• Good knowledge and hands-on experience with SQL and PySpark (preferable on Databricks)
• Good knowledge of Python
• Experience in backend development in Python (e.g. project structure standards, building packages)
• Experience in working with various data formats (csv, json, Parquet, Delta)
• Familiarity with Azure services (e.g. 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

Optional

• Basic knowledge or experience with building and maintaining REST APIs
• Basic experience with FastAPI framework

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 Requirements: Python, Spark, Databricks, Azure, Delta Lake, FastAPI Tools: Agile, Scrum. Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, christmas gifts, sharing the costs of tickets to the movies, theate, employee referral program, retirement pension plan, corporate sports team, sharing the costs of professional training & cours, Training budget, Free coffee, Gym, Bike parking, Playroom, Canteen, Shower, Free snacks, Free beverages, In-house trainings, Startup atmosphere, No dress code.

Praca Warszawa

Administrator IT Warszawa

Specjalista ds. bezpieczeństwa IT Warszawa

Warszawa - Oferty pracy w okolicznych lokalizacjach