Junior költségkontroller állások, munkák adatbázisszakértő kategóriában

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...

• Operate, optimise, and further develop our Microsoft Fabric ecosystem (Lakehouse, Warehouse, Pipelines, Semantic Models).
• Design, build, and maintain Power BI reports and dashboards based on clearly defined business requirements.

Lead the modeling core with fundamental mathematical, statistical, and machine-learning methods that bring customer and market data with knowledge into an executable strategic twin...

• Development and maintenance of bioinformatics workflows for NGS data analysis
• Exploratory data analysis of large-scale genomic datasets
• Design and execution of independent research projects at the interface of data science and neuroepigenetics
• Contribution to scientific publications and presentations

Data & Application Specialist (m/w/d) 80%Data & Application Specialist (all genders) 80%SLSP AG - ZürichJoin us in shaping the future of scientific information in Switzerland!The Swiss Library Service Platform (SLSP) – headquartered in Zurich – is a service provider for libraries and collaborates...

• Modeling data using M-Code and DAX
• Preparing data after SQL import for further processing in Power BI
• Creating Power BI dashboards for a department
• Analyzing company data to support data-driven decision-making
• Ensuring data quality and integrity
• Developing requirements for new data

• Support with the operation of the Azure-based platform (including Docker on Linux/Windows VMs) with team guidance
• Assist in building and documenting data pipelines (Azure Data Factory, Databricks catalogs)
• Help create and maintain Databricks notebooks (Python) for specialized use cases

• 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

• Design and implement end‑to‑end AI pipelines for time‑series and event‑driven sensor data (e.g., pressure, temperature, current, voltage, etc.)
• Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability

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 development of quantitative risk management tools both in terms of modelling and programming, maintained by Group Risk and the team....

• Central responsibility for solutions in MDM/MDG, PIM and GS1/GDSN
• Provision of required data endpoints with aggregated data from various (sub-)systems for Business Intelligence & Analytics solution in coordination with the specialist departments

• Serve as the primary technical contact for Client Services, Programmatic team, product, and engineering and technical solutions partners we work with
• Implement, monitor, and optimize programmatic ad stacks, including GAM, header bidding, and mediation platforms

Business Systems EngineerBusiness Systems EngineerProtect the Built World – From the InsideWe're looking for a motivated professional with a Swiss Federal VET Diploma (EFZ) to join our Internal Systems team. In this versatile role, you'll support various business functions – from Sales and Supply...

• Developing and deploying AWS IoT–based data logging pipelines to collect and manage sensor and device data
• Designing and implementing data processing workflows and machine learning models using AWS SageMaker

• Support the design and establishment of a company-wide master data framework: master data governance, organisation, processes, systems & tools
• Work closely with business stakeholders to coordinate and document master data needs & to create suitable end-to-end concepts / data models