12.07.2026 | Pełny etat | Kraków | Transition Technologies PSCFabric ecosystems. The person in this role will be a key participant in the organization's data transformation journey - from ingestion and processing through to visualization and reporting. Responsibilities Data Flow Design, build and maintain data pipelines and protocols as needed to implement
Zobacz później12.07.2026 | Pełny etat | Kraków | CLOUDFIDEFlows and manage Power BI semantic models programmatically. Writing Python scripts to automate operational tasks, data processing, and integration workflows. Designing and
Zobacz później12.07.2026 | Pełny etat | Kraków | CLOUDFIDEAnd operational tasks. Assisting with monitoring, debugging, and validating cloud data pipelines. Using Python and SQL for data processing, cleaning, and analysis. Helping document workflows and implement small improvements. Collaborating with mid and senior engineers to understand requirements and deliver simple
Zobacz później11.07.2026 | Pełny etat | Kraków | Tesco TechnologyAbout the role The Data Engineering department at Tesco Technology is at the forefront of data processing within the retail and technology industry. This vital department handles a range of responsibilities, including Analyzing order and delivery data to optimize logistics processes and enhance
Zobacz później11.07.2026 | Pełny etat | Kraków | CRIFProjects description CRIF is an international company specializing in credit bureau and business information, outsourcing and processing services, and credit solutions. As a result of inventing new business lines as well as continuous support and expansion of existing services, CRIF is extending
Zobacz później11.07.2026 | Pełny etat | Kraków | ITDSWith a statement confirming your consent to the processing and storage of your personal data
Zobacz później11.07.2026 | Pełny etat | Kraków | StrategicsiqAnd Payroll. Extensive hands-on experience configuring and customising SAP Human Capital Management. Strong knowledge of payroll processing and payroll accounting principles. Experience working with infotypes, wage types, schemas, rules, and features. In-depth understanding of SAP Payroll structures, tables
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