Engineer állások, munkák adatbázisszakértő kategóriában

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Design, build, and maintain scalable data platforms and solutions tailored to business needs
• Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives
• Optimize and monitor data workflows to ensure performance, scalability, and reliability

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

• You will contribute to improving our foundation recommender system
• Your role involves exploring and evaluating new machine learning methods, including applications of LLMs for recommender systems
• Expect to support personalized CRM communications (push notifications, in-app messages, newsletters)

Software Engineer (m/f/d) MF Group is a subsidiary of Riverty and part of the Bertelsmann Group. Around 120 employees work across two locations in Switzerland to make invoice-based purchasing with flexible installment payments even simpler and safer for Swiss retailers. As a leading Swiss provider,...

- Acquisition and conversion of textual corpora from diverse sources into a shared TEI schema - Refinement of the shared TEI schema and documentation as a TEI customization (ODD) - Supporting full-text digitization via OCR/HTR pipelines - Management of image collections - Modeling metadata for text...

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable,...

Architect and implement end-to-end cloud data solutions, including data lakes, data warehouses, and real-time analytics platforms. Design, build, and troubleshoot data acquisition pipelines from databases, flat-files, and REST APIs. Apply medallion architecture (bronze/silver/gold) for scalable,...

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• Develop and operate Java microservices that power Adobe's cloud platform, supporting a large global audience
• Improve the performance, reliability, and security of services your team owns end-to-end

You design the reference architecture for the ML platform end-to-end: data ingestion, PB-scale data lake, heterogeneous training clusters, model registry, and deployment-ready artefacts....

You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds....

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Designing and developing platform to fulfil business needs Design new data pipelines Maintain platforms hosted on data streams for batch-loading and real-time visualisations Maintaining and evolving existing data platform Follow and mentor engineers on data modelling following standards e.g. Inmon,...

Who we are? As the top Swiss e-commerce platform, with a crew of over 3'200 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That’s why we’re on the lookout for characters who’re...

Business Process System Engineer 80 - 100 % (f/m/d) True to the vision "We drive innovation to improve people's lives", the Hamilton companies have been providing solutions for the health sector since 1950. We are an innovative pioneer in the fields of ventilators, automated pipetting, sample...

Deliver complex data engineering projects individually or by leading small delivery teams Work with EMEA and US customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage...