Data állások, munkák Németországban

• 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

• Lead the Acquisition Measurement team: own the Acquisition Marketing Measurement domain roadmap and prioritisation with stakeholders from both Business and Technical backgrounds.
• Contribute to OKRs and goals definitions: goals: develop clear and measurable targets based on an initiatives' scope.

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

Strengthen the completeness and reliability of the Group's Data Catalog (Data Galaxy) by conducting in depth analyses of data systems, governance frameworks, and business usage across the organization...

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

WHAT SHOULD YOU EXPECT DURING THE 2-YEAR PROGRAM? Stretch Rotations You will boost your strategic thinking and influencing skills having the sole responsibility of planning, overseeing, and executing 4 exciting data science projects. The projects will be supported by different teams, giving you the...

Visionary Domain Leadership: Architect and scale a high-performing multidisciplinary data organization. You will define the headcount strategy, career frameworks, and operational rhythms that allow Data Scientists and Engineers to deliver high-leverage outcomes....

• Own the full sales cycle from prospecting to close for mid‑market and enterprise accounts in your territory.
• Consistently build and manage a qualified pipeline to meet and exceed an annual quota on data and analytics consulting services.

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

• Ensure data quality within the Corporate Data Domain
• Perform data‑quality checks and drive corrective actions
• Analyse root causes of data issues and coordinate resolution
• Own and maintain the Corporate First Line Data Domain from a business perspective

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...

• Design and implement scalable data engineering and analytics solutions in Azure and Databricks.
• Translate business and user requirements into technical architecture, concepts, implementation and roadmaps.

Design and implement scalable, secure, and maintainable fullstack solutions for AI-enabled applications and platforms, including components that leverage LLMs to enable advanced user interactions and automation...

• Develop data schemas for the standardised exchange of medical research data
• Conceptualise and implement electronic data collection forms and advance existing processes for data collection and data curation

• Managing and mentoring a multidisciplinary team of machine learning and image analysis experts
• Coordinating DCU activities across partner sites and aligning them with HI strategy

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• 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