Gcp data engineer cloud data engineering állások, munkák Németországban

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

• Maintain and manage FI data operations, ensuring accuracy and consistency across systems
• Support annual planning templates and collaborate with business units using SAP BW and MS Power BI tools for planning cycles

Design, implement, and build data and AI solutions adding business value (Service Efficiency, Sales) – linking strongly to IOT data and other proprietary data sources...

• 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.

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...

• 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

• 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.

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

Analyze business requirements and processes along the full value chain of a globally operating industrial insurer to support our international digitalization strategy...

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

Elicit, challenge, and document business and data requirements for the intensified and problem loan management phase of the customer lifecycle (including post-origination monitoring, arrears/forbearance, default, workout, and recoveries)....

• Translate data into actionable insights that shape our marketing strategy and investments.
• Partner with marketing stakeholders to identify opportunities, define KPIs, and measure success.
• Build clear, engaging dashboards and reports that highlight trends and tell compelling stories.

Design and deliver complex mission-critical projects across our key business areas (e.g., pricing, supply chain, order/warehouse planning)....

• Maintain and support the IFS ERP system, focusing on interface solutions to connect external cloud applications and exploring AI integration.
• Provide backup and troubleshooting for the Qlik Sense BI platform, including resolving availability issues and supporting BI/reporting developments.

• optimize business processes: Model and implement requirements in SAP Variant Configuration (LO-VC and AVC)
• drive system integration: Visualize and streamline data flows between SAP ERP, SAP CRM, and other integrated systems

• Analyze oilfield data, with a focus on production rates, field trends, and sensor data
• Define and support strategies for oilfield operations and optimization
• Collaborate closely with customers to understand workflows, provide analytical support and deliver actionable insights