Informatika állások, munkák adatbázisszakértő kategóriában

• Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutions
• Construct and refine (Gen) AI models, prompts, and related analytical components

As a digital system provider for Lidl's online business, we at Lidl e-commerce create efficient, scalable digital products and services and develop them further for the future. As a brand of the IT and digital division Schwarz Digits, our divisions are divided into Commerce Platforms, Marketing...

Grow personally as key player in the global finance team by developing the system landscape, creating data pipelines and BI products and that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions including global supply chain, sustainability, research...

• Design, develop, and maintain interfaces with external systems, including APIs, file import/export processes, and web services;
• Support and maintain ERP integrations to ensure reliability, performance, and data integrity;

Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and...

ensure the development and evolution of our Microsoft Azure big data platform to further strengthen any customer interaction worldwide...

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

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...

• Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications.
• Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment.

• You continuously improve and scale our backend services
• You orchestrate and maintain our AWS infrastructure
• You maintain and develop our in-house CMS
• You work with the feeds of Opta (main data provider)
• You ship updates through our CI/CD pipelines using GitHub Actions

• You are responsible for planning, designing and managing the space program's data architecture
• You develop models and structures for storing and accessing large volumes of data
• You integrate data sources (e.g. satellites, ground stations) and implement interfaces

• Write cleaning and data processing programs (SQL)
• Manage metadata from various national and international large scale educational assessment studies (including automated adaptation integration via SQL programs)

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

• Support the team in designing and developing an internal dashboard to visualize real-world data from diabetes care
• Explore, define, and implement selected dashboard use cases; actively contribute to deciding which use cases provide the most value

• Define, design, and guide the implementation of platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

• Data acquisition and preparation
• Evaluation and analysis of data
• Collaboration in the development of methods for data analysis and evaluation
• Algorithm development
• Tasks in the field of software development and databases

• Minimum 3 years’ experience as an Accounting Assistant (mandatory), including invoice recording, client fees, and month-end closing follow-up
• Perform reconciliations of bank accounts, cash position, follow-up of expenses / interests
• Preparation of VAT returns
• Regulatory reporting

Our client Philip Morris is looking for a Data Analyst based in Neuchatel or Lausanne (hybrid). ROLE PURPOSE: Enable data informed decisions by transforming raw business data (in particular IP Law internal data & publicly available patent data) into trustworthy and actionable insights and intuitive...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...