YOU SHOULD HAVE:
proven ability to lead a data-analysis-related project on a technical level
proficiency in Python and pandas (ability to write efficient and observable data-processing pipelines, ability to adhere to and set good coding practices)
solid theoretical background in computer science (data structures, algorithms, design patterns, OOP...)
experience with delivering solutions in Databricks
experience with CICD (Github Actions)
knowledge of SQL and NoSQL databases
WE GIVE EXTRA POINTS FOR:
experience with Grafana or other tools for data pipeline monitoring
experience with AWS/Azure cloud technologies
OUR TOOLSTACK AND WAY-OF-WORKING:
Python (Pandas, Plotly, Jupyter)
Databricks
Github
Scrum
Atlassian stack (Jira, Confluence)
AI tools (Gemini 2.5 Pro, Copilot for Bussiness)