133 English-speaking jobs in Salzburg

Designs scalable, secure, and cost-efficient data architectures on the Data Cloud Platform using technologies such as Snowflake, Databricks, or BigQuery. Drives the adoption of Data Mesh principles, including domain ownership, data as a product, and federated governance. Leads and supports enterprise-wide initiatives that drive Data Cloud Platform adoption and improve ways of working. Promotes and enables the use of AI-assisted development and analytics practices. Serves as a trusted advisor for architecture and platform-related decisions.

Leads and evolves Red Bull's end-to-end security services across server and multi-cloud platforms. Defines and manages operations, enhances security services, and collaborates with stakeholders and vendors.

Data Scientist will deliver projects within existing data science service lines, build robust data foundations, and manage stakeholder relationships. Requires 5+ years of experience in Data Science, proficiency in R, Python, or SQL, and strong project management and presentation skills.

Leads the design and implementation of data integration frameworks, ensuring seamless and secure data flow across the organization's infrastructure. Develops and manages disaster recovery plans to address potential failure scenarios and safeguard business continuity. Ensures alignment with enterprise architecture standards and security policies. Collaborates with cross-functional teams to design and deliver integrated solutions.

Supports the Distribution Partner Finance Manager in driving the global Distribution Partner and Field Sales roadmap. Develops global controlling guidelines, KPIs, and reporting standards. Analyzes global Distribution Partner sales volume, value, and trade investments. Supports the assessment of DP and Field Sales-related launch and business case proposals.

Shapes data and AI capabilities within IT, driving transformation and ensuring responsible use. Provides architectural direction for data and integration, aligning initiatives and reducing fragmentation. Facilitates discussions, resolves conflicts, and establishes governance structures for data, integration, and AI.

PALFINGER seeks a Global Compensation & Benefits Expert to design, manage, and develop global C&B frameworks. The role involves managing salary structures, variable compensation programs, and the global job grading system. The ideal candidate will advise HR colleagues and leaders on C&B topics, coordinate global projects, and possess strong analytical skills and data expertise.

Application Engineer at PALFINGER's Tuning Center KBC translates customer requirements into technical specifications for customized loader crane solutions. The role involves project management, technical documentation, and customer support.

Senior Outerwear Developer will lead the end-to-end development process for menswear and womenswear outerwear collections, ensuring alignment with design, innovation, performance, and commercial objectives.

Senior Data Engineer responsible for TV-Insight's data infrastructure, ensuring accurate and timely data processing for measurement, extrapolation, ad targeting, and reporting. Builds, maintains, and optimizes data pipelines, enforces data quality standards, and collaborates with data scientists and analysts. Requires 5+ years of experience in data engineering, data quality, or pipeline automation, strong coding skills (focus on Data Processing), and experience with SQL and data warehouse concepts (BQ, Snowflake).

Senior Software Engineer to lead full-stack development of SKIDATA's Licence Plate Recognition (LPR) system. Architect, design, and implement the LPR system, ensuring scalability, performance, and reliability. Collaborate in an Agile team, champion quality and test automation, and support and mentor team members.

Senior Software Engineer to lead .NET application development, design RESTful APIs, and build user interfaces. Requires experience with .NET Framework, .NET Core, REST and SOAP services, and agile development methodologies.

Develop and manage the product lifecycle of Red Bull's Point of Sale and Trade Marketing Materials, including event equipment. Collaborate with global teams and suppliers to ensure compliance, quality, and sustainability.

Develop and manage the lifecycle of Point of Sale (POS) and Trade Marketing Materials, including event equipment. Collaborate with global teams and suppliers to ensure product development meets quality, compliance, and sustainability standards. Manage product budgets, documentation, and address quality complaints.

Coordinate international solid wood projects, ensuring on-time completion and compliance with specifications. Serve as a technical interface between internal departments and customers.

As a SAP Supply Chain Process & Data Governance Specialist, you will develop and optimize operations data, ensuring system reliability and leading process improvement initiatives. You will analyze ticket root causes, resolve issues, and coordinate small DPG projects. This role requires expertise in ERP Systems, Transportation Management (TM), and cross-functional processes.

Technical Project Manager will facilitate team communication, plan and manage projects, and collaborate with product owners. Requires experience in software development, Agile methodologies, and project management. Strong communication skills and familiarity with AWS are essential.

Designs, implements, and maintains CI/CD pipelines and cloud infrastructure (AWS). Automates infrastructure provisioning using IaC tools (Terraform, Terragrunt). Monitors application performance, system reliability, and infrastructure health. Collaborates with development teams to improve deployment processes.

Leads global strategy and profitability for the Parking & Mobility business domain. Responsible for performance, P&L, and driving customer-centric product and solution strategies. Collaborates with other business domains and regions to align domain strategy with company goals. Requires proven international leadership experience, market knowledge, and product management expertise.

Data Scientist with 2+ years of experience to drive data-driven decisions for Sales, Marketing, and HR. Responsibilities include managing projects, scaling initiatives, driving innovation, and collaborating with stakeholders. Requires proficiency in Python, SQL, and statistical analysis.