452 English-speaking jobs in Vienna

Lead and grow a data engineering team, designing, building, and operating scalable Databricks pipelines. Experience with Azure Data Factory, data modeling, and production data systems is required.

Collaborate with data scientists and product owners to build and maintain data pipelines using Databricks, Azure Data Factory, and SQL/NoSQL databases. Ensure pipeline quality through versioning, testing, monitoring, and automated deployments.

Full Stack Developer (m/f/d) will develop full-stack applications using C# and .NET in an agile team. Responsibilities include understanding storyboards, creating features, maintaining applications, and participating in DDD domain modeling. Requires 5+ years of experience with .NET and C#, Domain Driven Design, ASP.NET Core, JavaScript, TypeScript, and CI/CD pipelines.

Leads and scales security capabilities across domains, including GRC/ISMS, Security Operations, AppSec, Cloud/Infrastructure Security, IAM, and Security Architecture. Ensures security is embedded into product and engineering delivery. Oversees external and internal assurance programs and ensures continuous audit readiness. Sets third-party security strategy for critical suppliers and ensures oversight of outsourcing/critical ICT providers. Acts as an advisor at all levels, communicating security risk in business terms and driving alignment on tradeoffs.

The Senior Project Director leads and governs large-scale pharmaceutical capital EPC projects, ensuring compliant, on-time, and on-budget delivery. Responsibilities include defining project strategy, overseeing end-to-end delivery, managing financial performance and risk, and leading cross-functional teams.

As a Group Senior Expert - API Production, you will lead technology transfer projects, provide global technical expertise in API manufacturing, and drive harmonization and standardization across the global manufacturing network.

Provide technical leadership and manage current and future SAP WM/MM projects. Develop efficient technical changes within a challenging SAP landscape. Coordinate activities of key users and project streams. Collaborate with external partners to ensure seamless deployment.

Designs and develops utility units and systems for pharmaceutical production environments. Prepares engineering documentation, performs technical calculations, and evaluates supplier proposals. Coordinates with other design engineers and assists with project descriptions and commissioning documents.

Develop and implement global sourcing and contracting strategies for pharmaceutical projects. Lead commercial procurement activities, including contract drafting, negotiation, and risk management. Manage supplier relationships and drive data-driven decision-making.

Lead and develop a team of embedded software experts in the aerospace industry. Manage project execution, technical activities, and resource allocation. Provide domain expertise and consultancy for product managers and sales.

Senior Business Analyst for Credit Risk Data. Structures and clarifies business, regulatory, and modeling requirements. Ensures quality, consistency, and traceability across the delivery lifecycle. Contributes to the customization and evolution of a Databricks-based platform. Collaborates with stakeholders to drive decisions and move topics forward. Requires a degree in a related field, experience in Business Analysis or a similar role within financial services, and strong understanding of credit risk processes and data management frameworks.

Steer the international Employee Central implementation project from the HR business perspective. Lead the functional implementation team and coordinate with IT, T Systems, and SAP SuccessFactors. Ensure the successful rollout of Employee Central in over 20 countries.

Solution Architect with 7+ years of experience in software engineering and/or architecture, including Telco BSS domain knowledge. Experience in large-scale BSS transformation programs, SaaS integration, workflow engines, and AI technologies is required.

Analyzes, steers, and supports business and financial performance across multiple international life insurance markets. Delivers consolidated insights and cross-country comparative analysis to enhance transparency and performance understanding. Supports senior management by translating complex business and financial data into clear, actionable insights.

Develop and implement a pricing framework across markets and business lines. Provide pricing expertise for strategic initiatives and drive the scaling of pricing capabilities. Utilize pricing software and analytics for modeling, tariff development, and portfolio monitoring.

Conducts market, industry, and competition reviews; aligns strategic goals with company objectives; develops project strategies and execution plans. Identifies risks and opportunities, provides financial insights, and prepares reports for stakeholders. Analyzes data, collaborates with cross-functional teams, and presents financial information to senior management.

Leads and develops SAP BI data models and analytics solutions for Finance. Translates Finance requirements into scalable reporting and data models. Ensures data accuracy and usability for decision-making. Collaborates with BI, SAP, and IT teams on solution design and delivery.

Senior Backend Developer will contribute to the development of an international e-commerce platform through backend services. Responsibilities include designing and developing APIs, working on payment, loyalty, and pricing domains, and ensuring system scalability. The ideal candidate has experience with Java/Kotlin, Spring (Boot), Microservices, Docker, and CI/CD.

Collaborate with data engineers, scientists, and product owners to build data, ML, GenAI, and BI solutions. Design, build, and operate data pipelines on Databricks using Python and Lakeflow. Implement and operate CI/CD pipelines, infrastructure automation, and environment management.

Collaborate with data teams to develop and deploy ML solutions on Databricks using Python, MLflow, and feature engineering. Implement end-to-end MLOps, integrate models with data pipelines, and contribute to reusable templates and documentation.