We offer: work in the largest FinTech in Poland, competitive remuneration, work with the latest technologies for a wide range of users , good working atmosphere, real impact on the company's development, opportunity to take part in conferences, hackathons and training. experience in analytical projects with large data sets, good knowledge of Python (pandas, numpy, matplotlib, seaborn, plotly, scikit – learn, streamlit etc.), good knowledge of SQL (subqueries, window functions, query op
We offer:
- work in the largest FinTech in Poland,
- competitive remuneration,
- work with the latest technologies for a wide range of users ,
- good working atmosphere,
- real impact on the company's development,
- opportunity to take part in conferences, hackathons and training.
- experience in analytical projects with large data sets,
- good knowledge of Python (pandas, numpy, matplotlib, seaborn, plotly, scikit – learn, streamlit etc.),
- good knowledge of SQL (subqueries, window functions, query optimization),
- knowledge of English at a communicative level,
- ability to model data and analyze statistical,
- accuracy, conscientiousness, ability to work under time pressure.
Welcome:
- knowledge of spark/pyspark,
- knowledge of data visualization tools (e.g. Power BI, Tableau, Looker)
- knowledge of the Databricks platform,
- experience in working with the cloud (Azure, GCP, AWS),
- experience in business analysis and creating ad reports hoc,
- basic knowledge of financial instruments and markets.
We offer:
- work in the largest FinTech in Poland,
- competitive salary,
- working with the latest technologies for a wide range of users,
- good working atmosphere,
- real impact on the company's development,
- opportunity to take part in conferences, hackathons and training.
,[creating reports and ad hoc analyses, exploratory data analysis, defining and implementing KPIs, supporting decision-making based on data, building the logic of algorithms implementing business goals.] Вимоги: Python, SQL, Data base, Microsoft Azure, Databricks, Spark, PySpark Інструменти: Jira, Confluence, Wiki, GitLab, GIT, Agile, Scrum. Bonuses here: Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, Free coffee, Bike parking, Playroom, In-house trainings, Modern office, No dress code.