Data engineer f m d állások, munkák Németországban

• Aircraft Mechanic – Fitter (m/f/d)
• Full-time / Shift work – three shift pattern
• Dahlewitz, Berlin (relocation assistance available)
• Build and repair engines using mechanical, pneumatic, hydraulic, and electronic components
• Follow technical drawings and work instructions precisely

GEA Group is seeking a motivated, hands-on DATA ENGINEER (F/M/D) to join our global data platform team within our Enterprise IT organization at our headquarters in Düsseldorf. In this role, you will play a key part in designing, building, and optimizing data pipelines that enable advanced analytics...

• Data Product Development: Design, develop, and deploy scalable data products that provide meaningful insights to business stakeholders.
• Data Mart Infrastructure: Build and maintain a robust data mart infrastructure within AWS Redshift to support reporting needs.

• Closely collaborating with data analysts, analytics engineers and other consumers of Tourlane data to maintain and incrementally improve our hosted data services
• Improving and extending our existing data ELT processes, focusing on our ‘bronze' and ‘silver' layer within our data architecture

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

• Ensure accurate and timely preparation of payroll-relevant data
• Provide reliable HR operations support throughout the entire employee lifecycle (e.g., onboarding and offboarding, issuing certificates, sickness and absence matters, etc.)
• Maintain compliant, efficient, and well-documented HR processes

• Compilation and preparation of relevant key figures for monthly reporting, budgets, and forecasts, as well as deriving recommendations for action
• Further development of the company's business intelligence approach (Qlik Sense)
• Ensuring high data quality

• Support daily warehouse and logistics processes (receiving, sorting, preparing packaging and equipment)
• Assist with order picking, packing, and documentation
• Help keep processes efficient, structured, and transparent
• Contribute to smooth handovers between logistics and operations teams

• Lead the end-to-end implementation of SAP S/4HANA globally
• Manage project plans, scope, budgets, timelines, and resource allocations.
• Drive delivery of project milestones and ensure successful go-live and stabilization phases

• Champion an enhanced client experience across supported locations by proactively identifying and resolving operational issues.
• Maintains key performance metrics (KPIs) related to service quality, efficiency, and customer experience to drive continuous improvement and client productivity.

• Design, implement and manage Azure-based infrastructure using Infrastructure as Code (IaC) principles
• Configure and maintain Kubernetes clusters, including deployment strategies, scaling and monitoring
• Build and optimize GitLab CI/CD pipelines for automated testing, building and deployment

• Technical nautical support of our own ferry tonnage
• Planning and monitoring of projects
• Handling of shipyard times and repairs
• Preventive maintenance
• Damage handling
• Control and responsibility of maintenance and ship operating costs
• Responsibility for the assessment of performance on board

• Develop and maintain a proprietary trading system within a high-performance crypto finance environment.
• Implement technical specifications end-to-end, covering both backend Python components and frontend interfaces.

• Supervise and support on-site quality assurance, addressing technical non-conformities and ensuring compliance with change management protocols
• Coordinate with Supply Management for the Quality Gate 1 and incoming goods inspections

• Provide German law advice to business departments
• Review and advice on: lending documentation, product-related questions and day-to-day requests from business stakeholders

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• Modern development tools including .NET 8, Visual Studio 2022, Git and Azure DevOps
• Containerization and orchestration with Docker, Kubernetes, Helm, and YAML
• Backend systems built in C#, following a microservice architecture with WebSocket, REST, and RabbitMQ for message-based communication

• Lead and motivate a team of 2–5 members within your part.
• Foster a collaborative and high-performance culture.
• Provide guidance, coaching, and support to ensure team objectives are met.
• Oversee and manage daily operational tasks with accuracy and efficiency.

• Lead virtual customer engagements to assess strategic objectives, define innovation scenarios, and identify improvement opportunities.
• Develop business cases, ROI and TCO analyses, and C-suite-ready justification for change using a standardized value-selling approach.