Data Engineer

Job Description It’s not just about your career or job title… It’s about who you are and the impact you will make on the world. Because whether it’s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you’re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers’ potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! Role Summary/Purpose The Wabtec Data & Analytics (D&A) team is driving the company's next-generation data and analytics ecosystem with a strong focus on Data Democratization, Self-Service, and AI-led innovation. We are seeking a Senior Data Engineer with strong SQL expertise and experience across data engineering, AI, Machine Learning, Deep Learning, and Data Science to enable scalable, governed, and intelligent self-service solutions. In addition to building and curating trusted datasets, this role will contribute to the development of AI-powered solutions leveraging Microsoft Copilot, Denodo AI SDK, Dataiku, and Agentic AI frameworks to enhance data discovery, analytics, automation, and business decision-making. The candidate will be responsible for designing, developing, and supporting advanced analytics, predictive models, intelligent agents, and Generative AI solutions that accelerate business value and operational efficiency. The ideal candidate combines strong data engineering fundamentals with hands-on experience in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), agent development, and advanced analytics , enabling business users to effectively leverage data and AI capabilities through trusted, self-service platforms and intelligent automation solutions. Essential Responsibilities As a Senior Data Engineer, you will be responsible for the following: Partner with D&A leadership and business stakeholders to evolve and execute the Data Self-Service and Data Democratization strategy. Work directly with functional users to understand self-service data needs across data discovery, reporting, analytics, and advanced use cases. Design, build, and curate high-quality datasets to support analytics and reporting use cases, including development of curation tables. Strong Experience in SQL and PL/SQL Create and maintain data documentation, user guides, and standards in SharePoint to promote adoption and consistent usage. Develop and publish logical and physical data models and ER diagrams to support self-service and semantic layers. Collaborate with architecture and emerging technology teams on proof-of-concept evaluations of new data, analytics, and AI platforms. Help assess whether self-service tools are being used correctly, and guide users toward the most effective tools for their use cases. Contribute to self-service design patterns, implementation standards, and roadmaps based on business usage patterns. Ensure self-service solutions meet enterprise requirements for data quality, metadata, semantic consistency, and performance. Work with security, architecture, and platform teams to ensure data access is governed appropriately for business confidential and sensitive data. Support implementation of new and existing standards, processes, and best practices across data engineering and analytics platforms. Participate in architecture discussions and contribute insights on emerging data technologies, tools, and industry trends. Perform in-depth data analysis, data modeling, and data design activities to support business and analytics needs. Qualifications/Requirements Minimum 3 years of experience in self-service and analytics platforms including Denodo, Dataiku and Power BI . Hands-on experience with AI platforms (Copilot Studio, AWS Bedrock) for designing and developing intelligent agents and workflow automation Bachelor’s degree in Information Systems, Information Technology, Computer Science, Engineering, or a related field from an accredited institution. Hands-on experience or