Data Engineer

• Datasets and data pipelines preparation, support for Business, data troubleshooting.
• Closely collaborate with the Data & Analytics Program Management and stakeholders to co-design Enterprise Data Strategy and Common Data Model
• Implementation and promotion of Data Platform, transformative data processes, and services
• Develop data pipelines and structures for Data Scientists, testing such to ensure that they are fit for use
• Maintain and model JSON based schemas and metadata to re-use it across the organization (with central tools)
• Resolving and troubleshooting data related issues and queries
• Covering all processes from enterprise reporting to data science (incl. ML Ops)

Do you have experience in Tableau?, * Hands-on Big Data experience using common open source components (S3, Hive, Spark, Trino, MinIO, K8S, Kafka)

• Experience in stakeholder management in heterogeneous business/technology organizations
• Experience in banking or financial business, with handling sensitive data across regions
• Experience in large data migration projects with on-prem Data Lakes
• Hands-on experience in integrating Data Science Workbench platforms (e.g. Knime, Cloudera, Dataiku)
• Track record in Agile project management and methods (e.g., Scrum, SAFe).

Skills

• Knowledge of reference architectures, especially concerning integrated, data-driven landscapes and solutions
• Expert SQL skills, preferably in mixed environments (i.e. classic DWH and distributed)
• Working automation and troubleshooting experience in Python using Jupyter Notebooks or common IDEs
• Data preparation for reporting/analytics and visualization tools (e.g Tableau, Power BI or Python based)
• Applying a data quality framework within the architecture
• Good knowledge of German is beneficial, excellent command of English is essential
• Higher education (e.g. "Fachhochschule","Wirtschaftsinformatik")