Junior controller állások Németországban (adatbázisszakértő)

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

• 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.

• 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

• 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

Lead the design, implementation, and configuration of scalable data models based on complex functional and technical requirements, ensuring alignment with enterprise architecture...

• 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

• Develop and enhance Excel- and Python-based analysis tools to evaluate the Risk Management Functions and Risk Culture of our Operating Entities.
• Conduct analysis using company specific data and aggregated results.
• Prepare presentations for senior management.

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

• 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

• help our business units to migrate data into our SAP landscape and increase the quality level of Data in ERP, CRM, MDG and other systems
• leverage and enhance migration tools and use them to identify and correct/update data discrepancies
• convert and transfer data into our core systems

• 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;

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...

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

• 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