Oferty pracy

Python Software Engineer for Big Data

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.

Databrics Azure Event Hub Azure Pipelines Azure Data Factory Python Spark 3 Delta Lake B2B Contract Junior specialist (Junior) Specialist (Mid/Regular)

Your 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

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

Optional

Basic knowledge or experience with building and maintaining REST APIs
Basic experience with FastAPI framework
Experience in back-end development of enterprise applications

What we offer:

Opportunities for personal development in an international environment
Interesting & ambitious work in the team of experts & fans of their work
Autonomy
Work in English on an everyday basis
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

Development opportunities:

conferences in Poland
development budget
external training
industry e-learning platforms
in-company training
mentoring
soft skills training
substantive support from technology leaders
exchange of technical knowledge within the company

Benfits

co-financing for sports activities
private medical care
co-financing of foreign language learning
training budget
life insurance
remote work options (hybrid work)
flexible working time
integration events
company gym
preferential loans
no dress code
video games at work
relaxation zone
co-financing of cinema and theater tickets
christmas packages
employee referral program