Commerzbank Digital Technology Centre Poland

Software Engineer

• Develop and maintain Qlik applications using advanced programming skills (Q-SQL) and a strong understanding of business needs
• Create innovative and visually impactful data illustrations for powerful analysis and professional presentations
• Prepare and execute technical updates, including testing and documentation
• Collaborate closely with business analysts to understand and implement business requirements, ensuring continuous improvement of our products
• Manage and operate data and loading structures within Qlik and GCP

Qlik Developer

Product Manager

• Develop a product and/or process vision and define product features
• Create and own the product backlog; prioritize features by business value
• Determine sprint backlog prior to each sprint and support sprint planning
• Ensure production stability and compliance with SLAs, IT security and regulatory requirements
• Manage relationships with customers and stakeholders; gather feedback and communicate decisions
• Monitor and recognize impending problems; design reusable solutions and templates for standard processes
• Provide advice to the team on infrastructure and architecture; improve products, services, processes and systems

Product Owner, Payment Transactions

• Design, develop, and enhance Qlik Sense applications, ensuring high performance and scalability
• Leverage VizLib to create advanced and interactive data visualizations
• Utilize NPrinting to design and distribute automated, high-quality reports
• Develop, optimize, and maintain robust data models and data processing workflows
• Translate complex business needs into technical implementation plans
• Work closely with the Product Owner to align priorities, coordinate hotfixes, and oversee release management
• Support and enhance Extract, Transform, Load (ETL) processes to integrate data from diverse sources
• Ensure seamless integration and data quality within database systems, including working with T-SQL and/or Oracle PL/SQL

Junior Qlik Developer, Cost Processing & Transactions

Scrum Master / Agile Coach

• Facilitate Scrum events: daily stand-ups, sprint planning, sprint reviews, retrospectives
• Coach the team on Agile and Scrum practices to improve efficiency, quality, and collaboration
• Identify and remove impediments blocking the team
• Support Product Owners in their duties and responsibilities
• Promote transparency by ensuring information radiators are up-to-date
• Monitor performance using Scrum metrics (velocity, burn-down charts)
• Engage stakeholders across the organization to ensure alignment
• Foster continuous improvement and encourage experiments to enhance team efficiency
• Cross-team coordination between Lodz, Frankfurt, and Prague (depending on demand)
• Conduct training and workshops on Agile and Scrum
• Manage and administer Agile tools (Jira, Confluence)
• Create and present reports for management and stakeholders
• Advocate Agile practices and mediate conflicts to maintain a healthy team environment
• Monitor market trends in Agile and Scrum and introduce relevant practices

Scrum Master, German Speaker

• Facilitating Scrum Events: Ensure that daily stand-ups, sprint planning, sprint reviews, and retrospectives occur and are effective
• Coaching the Team: Guide the team on Agile and Scrum practices to improve efficiency, quality, and collaboration
• Removing Impediments: Actively identify and remove barriers that prevent the team from achieving their goals
• Supporting Product Owners: Help the Product Owners in their duties and responsibilities
• Promoting Transparency: Ensure that information radiators are up-to-date and visible to facilitate transparency and communication
• Performance Monitoring: Track and measure team performance using Scrum metrics like velocity and burn-down charts
• Stakeholder Management: Engage with stakeholders across the organization to ensure alignment and address any concerns or needs
• Continuous Improvement: Foster an environment where continuous improvement is prioritized, including encouraging experiments to enhance team efficiency
• Cross-Team Coordination: Facilitate collaboration and coordination between different teams, especially if working within a larger Agile framework such as SAFe
• Tool Management: Manage and administer the Agile tools (like Jira, Confluence) used by the team to ensure they are being utilized effectively
• Reporting: Create and present reports for management and stakeholders regarding team progress, impediments, and other metrics
• Agile Advocacy: Champion Agile practices and values throughout the organization, promoting a cultural shift towards Agile methodologies
• Conflict Resolution: Mediate any conflicts within the team to maintain a healthy and collaborative work environment
• Market Trends Monitoring: Keep up-to-date with the latest industry trends in Agile and Scrum, and introduce relevant practices to the team.

Scrum Master

Data Engineer

• Lead and execute the migration of ETL processes and workflows to Google Cloud Platform, ensuring high performance and minimal disruption
• Writing efficient cloud-native code, optimizing it for scalability, performance, and maintainability
• Contribute to the wider lifecycle of product development, identifying opportunities for functional improvements, enhancements, and innovations
• Design and build interfaces between data storage and the data transformation engine in the form of scalable and secure APIs
• Work closely with cross-functional teams, including data scientists, product managers, and software developers, to deliver high-quality solutions

Senior Data Engineer

• Development and maintenance of AIRB/IFRS9 credit risk models (PD, LGD, CCF) for multiple portfolios and IFRS9 Stage Transfer logic
• Group-wide methodological responsibility for quantitative credit risk
• Forward-looking construction of a cross-functional methodology architecture
• Ensuring compliance with regulatory/accounting standard requirements (Basel / IFRS9 etc.) and EBA GL
• Programming of prototypes for impact and scenario analysis in different programming languages ( R/Python, SAS/SQL )
• Data preparation, statistical and empirical investigations, handling of very large amounts of data, their aggregation and evaluation
• Preparation of technical specifications, presentations and documentation of quantitative credit risk forecasting models
• Internal and external communication, including auditors, regulators, external partners and rating agencies