Junior software developer állások Németországban (adatbázisszakértő)

Collaborate with system architects to contribute to the design of a secure and scalable service platform architecture, considering factors such as data integrity, confidentiality, and regulatory compliance....

• Servant leader for java development, especially for health data management platforms
• Refine technical specifications & dependencies with architects and align with connected products
• Highlight and address technical dept and focus on continuous improvement

• YOUR RESPONSIBILITIES:
• Design and implement high-performance software components for complex distributed systems, focusing on C++ development and advanced network protocols.
• Develop features aligned with the product roadmap and implement custom solutions for individual customer requirements.

• Supporting the design, development, and enhancement of Power BI dashboards for EQ functional areas.
• Building data models, data pipelines, and semi‑automated refresh processes.
• Identifying, structuring, and documenting relevant data sources.

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...

We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new foundation models. Our team sets standards for the safe and scalable AI in engineering and production. WHAT AWAITS YOU? * You will architect cloud and hardware solutions to scale AI...

Designing and implementing robust software solutions for optimization and quantum algorithms, integrating them into enterprise-grade systems....

Design and implement a discrete, structured interface that compresses and semantically organizes perception outputs while preserving information critical for prediction...

• 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.

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

• 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

• Support KPI and management reporting; develop and maintain senior management dashboards (Power BI)
• Build Power BI data models and Power Apps/Power Automate solutions
• Assist governance work (e.g., IIA alignment, audit manual updates, QA activities, surveys)

• 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

• 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