Senior data scientist literature állások, munkák

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Design and implement cloud-native data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage Develop and optimize data ingestion, transformation, and orchestration workflows for analytics, BI, machine learning, and large-scale processing use...

Develop and implement LLM based agentic solutions for processing large document sets. Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and the solutions. Develop and support semantic search, structured retrieval,...

• Understand business activities in the field of pension funds and/or insurance
• Support business lines for making the most efficient use of data management and AI
• Contribute to the development of internal tools
• Support consultants in daily activities
• Support ad hoc projects

Crafting innovative solutions through requirements analysis, constructing workflow charts, and drafting precise specifications Transforming business requests into actionable development plans, user stories, and robust acceptance criteria Guiding projects from concept to seamless implementation,...

• 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

• You design, implement, and manage our Snowplow tracking infrastructure on Google Cloud Platform.
• You develop and maintain robust tracking schemas and event structures that precisely reflect our business requirements.

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

· Kapcsolattartás nemzetközi energiaszolgáltatókkal ügyfeleink nevében – hatékony kommunikáció az adatgyűjtés és egyeztetések érdekében · A piac által szabályozott díjak és a piac működésének naprakész nyomon követése és elemzése, és a változások kommunikálása a tárcsapatok felé. · Számlák...

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)....

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...

• 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.

• 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

• 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