Top Tech Jobs & Startup Jobs

Designs and implements scalable Power BI solutions, semantic models, DAX measures, data visualizations, and interactive reports. Advises internal teams and customers on Power BI and Snowflake, works deeply in customer environments, gathers business requirements, and delivers data warehouse and analytics solutions. The role requires advanced Power BI, SQL, DAX, data modeling, and data warehousing expertise, fluent German and English, and travel of up to 30%.

Implement ETL routines and Snowflake data warehouse architecture for varied Big Data consulting projects. Translate customer business requirements into technical solutions, integrate and process complex data, develop diverse data models, create business reports, and provide hands-on Snowflake expertise. The role involves direct customer collaboration, technical demonstrations, and ongoing development toward Snowflake specialization.

Lead Databricks platform engineering and data engineering projects as a principal consultant, architect, and technical lead. Responsibilities include hands-on cloud implementation, project management, customer relationship development, presales and sales support, stakeholder presentations, process optimization, partner collaboration, and coaching team members. The role also supports Databricks practice growth through land-and-expand activities and requires occasional travel, fluent German and English, and strong communication skills.

Lead Azure cloud and data engineering projects as a principal consultant, combining architecture, hands-on implementation, project management, customer engagement, and business development. Design secure data platforms using infrastructure as code, identify expansion opportunities, collaborate with technology partners, and coach Azure practice members. The role requires strong communication, presentation, programming, emerging big data technology, and bilingual German-English skills. Remote work is available within Germany, with occasional travel to the Munich office and customers.

Lead data governance consulting projects from planning through completion, including delivery quality and P&L ownership. Design governance frameworks, advise clients on data management best practices, conduct workshops, and support cloud and data engineering implementations. Develop consulting offerings, lead sales pitches, identify expansion opportunities, and strengthen the data governance practice. Build market reputation through external networks and stakeholder engagement.

Design and deliver Azure cloud engineering and data-driven IT projects for customers. Build cloud-native distributed systems, container platforms, and serverless architectures; automate deployments and continuous integration; establish data platforms using Infrastructure as Code; advise customers on Azure best practices; identify project opportunities and risks; present to customers; and coach Azure practice members.

Lead AWS cloud and data engineering projects from architecture through implementation, manage projects, and build strong customer relationships. Identify expansion opportunities, support AWS partnership growth, coach team members, optimize internal processes, and collaborate on cloud initiatives. The role requires hands-on cloud engineering, data platform design using infrastructure as code, security best practices, customer presentations, and fluent German and English.

Design and deliver data-driven cloud engineering projects on GCP, including scalable distributed systems, CI/CD automation, infrastructure as code, and cloud data architectures. Provide GCP consulting, identify customer opportunities and risks, communicate technical roadmaps, collaborate across the practice, and coach team members. The role requires strong GCP data-services expertise, programming ability, consulting experience, and occasional travel.