Data engineer állások, munkák Németországban

• 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

• Take ownership of data engineering initiatives within projects and act as a technical lead towards customers
• Design, build and evolve scalable data platforms and architectures aligned with business goals

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• 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

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• 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

• As a Senior Data Scientist you will act as a mentor and trainer, helping to build and share knowledge across the organization.
• You will be responsible for developing and conducting expert training programs, including direct training sessions and project-based mentoring.

Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals....

Using your strong data skills, you analyse and develop tailored insights that improve our acquisition funnel performance for cross‑product management and support the implementation of commercial analytics in our Business Banking....

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

DATA ANALYSIS & REPORTING:Collect, clean, and analyze logistics-related data from various sources (e.g., shipment times, inventory levels, warehouse efficiency, transport routes, delivery performance).Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) and...

• Conduct independent research at the intersection of data science and public policy with a focus on ML/AI, causal inference, and/or computational methods;
• Collaborate with faculty and Data Science Lab members on joint research projects;

Reporting locally to the MSESE Group Finance Chief Operating Officer (COO) and functionally to the Global Finance Lead for Data Policy, Governance and Issue Management, support and represent the MSESE Group Chief Financial Officer (CFO) and wider MSESE Finance management team with regards to Data...

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....