Do you excel at transforming data into valuable insights and want to shape the future of the financial industry in Central and Eastern Europe? Do you want to join a dynamic international team united around data and customer centricity? Then you are the right person for our team!
Having a strong customer recognition and being a digital leader on the market, Raiffeisen bank is seeking to enhance Retail Customer Analytics and to drive analytical transformation on international level for entire Raiffeisen Group.
We are looking for ambitious candidates who will support us in our productive environment to:
- Drive the scaling of new banking solutions with the help of data science
- Be the mastermind in managing data workflows and turning it in practical insights
- Contribute to RBI Group transformation into a data-driven company & most recommended financial institute
You will be part of our adaptive set-up where data engineers, data scientists, MLOps as well as business experts internationally work together on different use cases.
What your job will look like:
- Participate in the lifecycle of data science projects, incl. design and development of data processing and monitoring pipelines
- Work with the state-of-the-art cloud infrastructure (AWS, Databricks)
- Assemble large, complex data sets to meet functional / non-functional business requirements
- Data platform development: provide developer tools, frameworks, and scalable data infrastructure as shared services across organization
- Continuously support internal consumers (data analysts, data scientists) in best data engineering practices and automation of development pipelines
- Find and adopt best practices, share your knowledge with a team and constantly learn from others
What you bring to the table:
- 5+ years of experience in similar roles
- Structured and conceptual mindset coupled with strong quantitative and analytical problem-solving attitude.
- Professional experience in designing and developing production ready data application and pipelines in cloud ecosystem
- Software engineering excellence: understanding of SDLC, Unit / Integration tests, Data Lake architecture
- Deep knowledge in PySpark and SQL (DDL, analytical functions, sub-queries, optimization of performance, principles for optimization)
- Experience working within agile (scrum) methodology.
- Fluent English, spoken and written
Will be a plus:
- BSc in Computer Science, Informatics, Software Engineering or related major
- Solid knowledge of ML principles and frameworks, analytical libraries (e.g., pandas, NumPy, scikit-learn etc.)
- Knowledge of DBT for ETL pipelines
- Good comprehension of data warehousing principles, MDM, data models (LDM/PDM)
- Experience in developing CI/CD/CT pipelines (we’re using GitHub actions)
What we offer:
- Be part of an international team at one of the leading banking groups
- Work as a team in a positive atmosphere and supportive work environment
- Work on interesting projects with modern and digitilized processes
- Opportunity for coninuous professional and personal development
- Flexible working arrangements, hybrid way of work and determining your own work-life balance
- Private pension fund and health insurance
- Company restaurant with preferential prices for employees
- Sport activities and team buildings
- Competitive salary
Interested in continuous self-development and working with cutting edge technologies?
Apply to join our analytics journey: Application link
* Please note that we will only contact short-listed candidates.
