PLACE OF WORK 1112 Budapest, Boldizsár utca 2. AREA OF EMPLOYMENT IT START OF WORK as soon as possible EMPLOYMENT TYPE Full-time megállapodás szerint My responsibilities: Build, enhance, and maintain ALDI’s enterprise-wide Data Catalog Develop and optimise workflows and landing pages in the catalog to make catalog onboarding and routine use efficient and compliant Customise and enhance the Collibra-based solution end-to-end, including integration architecture (application owner tasks) and ensuring smooth operations (incl. third-level support) Coordinate technical demand-to-solution delivery with respect to connectors and metadata scanners (including development coordination and integration readiness) Operate and continuously improve catalog workflows and workflows effectiveness by monitoring and reporting on catalog usage and deriving targeted improvements and recommendations Design, optimise, and maintain asset model and metadata architecture to reflect how ALDI’s data is structured and governed Metadata management with business context: catalog ALDI data assets and ensure consistent, understandable meanings (metadata stewardship for findability and usability) Provide trainings and technical support for catalog users and teams, and act as a change agent for data-related topics Engage multiple stakeholders (business units and data management teams, incl. IPOs and countries) to continuously enrich the catalog with high-quality content Act as SPOC/Application expert for data catalog service disruptions, investigations, and resolutions to ensure stable catalog operations Keep up to date with relevant catalog technologies and innovations to proactively identify improvement opportunities The knowledge I own: Hands-on experience in Groovy, scripting and creating workflow automatisations In-depth knowledge of BPMN: proven experience in designing, modeling and implementing complex, executable business process workflows Ability to build fault-tolerant workflows with proper error handling Hands-on analytical capability to translate business requirements into data management requirements, supported by structured problem-solving Active participation in Quality Assurance (QA) and UAT, assisting business users in testing and providing hands-on support during deployments. Hands on experience with Python Good command of English (upper-intermediate level or higher) Working in an agile environment Good understanding of API platforms and data integration principles, including experience with integration architecture and connector/scanner coordination Excellent communication and coordination abilities with experience in fostering collaborative environments Intercultural competence and experience collaborating with multiple team Nice to have: Experience with SAP and/or integration architecture is advantageous Understanding of data governance principles, metadata management concepts, and how they translate into practical catalog structures Knowledge of data modeling/asset modeling and metadata architecture, including ability to optimize existing models Proficiency with Collibra or any other data catalouge solution The offer that would convince me: Possibility to improve yourself in a constantly growing organization An above-average salary Intensive individual and practical training varied and interesting tasks Pleasant working environments A secure, long-term employment opportunity Location: Hybrid Start date: Immediately Online application: Please use our online application and attach your resume. AIIS Adatkezelési tájékoztató