Sql developer állások, munkák Németországban

Lead the installation, configuration, maintenance, and performance optimization ofMS SQL Server,PostgreSQL, andOracle databasesin a dynamic, enterprise-level setting, ensuring reliability and excellence at every step....

Own cost & performance management for our German logistics organization: monitor key cost drivers and KPIs, spot deviations early, kick off targeted countermeasures and keep management clearly informed, no surprises...

Contribute to our Text Analytics and Generative AI projects - from data preparation and analysis through model and prompt evaluation to the development of new features....

Drive and manage a portfolio of maintenance and infrastructure projects, ensuring adherence to schedules, budgets, and required quality standards....

• Take ownershipof the pricing tool used by the commercial department
• Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring

Key job responsibilitiesAs a Business Intelligence Engineer in Innovation and Design Engineering at Amazon, you will connect with engineers working at the forefront of designing new automation technologies. You will be working with massive-scale data and providing analytic support to product...

• You will develop, design and optimize logistics processes for our new location in Neuenburg
• In Supply Chain Management, you constantly work to improve existing processes, optimally implement new ones, and document them appropriately

Second-Line Oversight: Provide independent oversight and constructive challenge of the Consumer Deposits operational risk profile. Review and challenge first-line risk assessments, control design and effectiveness conclusions, ratings, remediation plans, and risk-acceptance decisions, escalating...

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

Design and develop backend data objects and data models that provide reliable, analytics-ready data for downstream BI dashboards and reporting solutions...

Support the evaluation of private debt fund investments through qualitative and quantitative due diligence, including analysis of investment strategy, restructuring capabilities, ESG integration, historical performance, and return expectations...

• Collaborate with business stakeholders to identify technical opportunities and gather user requirements for Polarion customizations, workflows, reports, dashboards, and integrations.
• Configure, customize, and maintain Polarion ALM solutions to support engineering, quality, and compliance processes.

• Define and further develop the Snowflake platform roadmap in alignment with enterprise data strategy and business priorities
• Establish the platform vision and manage priorities, demand intake and business requirements to maximize business value and support strategic objectives

• Design and implement the credit framework for Germany: credit policy, risk appetite, underwriting criteria, decision rules and cut-offs for B2C debt consolidation lending.
• Define the target operating model for credit, including processes, roles, tooling, documentation and governance.

Short-Term Trading & Execution: You actively support and continuously improve the execution of our day-ahead and intraday trading activities, identifying opportunities to improve execution quality and portfolio performance....

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Write code that is simple, readable, testable, and maintainable, whether you write it yourself or with the help of AI tools
• Conduct code reviews, give helpful feedback, actively contribute in team discussions and decisions

• Manage Sales budgets, headcount, capacity and workforce costs.
• Lead forecasts, re-forecasts, scenarios and run-rate projections.
• Own and improve fair, transparent target and achievement models.
• Set data-driven targets and evaluate incentive effectiveness.