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# Data Engineer

- **Company:** PALFINGER AG
- **Location:** Lengfelden, Austria (Remote available)
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Microsoft Azure, Business Software, Cloud Database, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Data Warehousing, Data Intelligence, Python (Programming Language), Machine Learning, Scrum Methodology, DataOps, Software Engineering, SQL Databases, Data Processing, Cloud Platform System, Azure Data Factory, Apache Spark, Data Strategy, Git, Pandas, Microsoft Fabric, Data Lakes, Information Technology, Bicep, Terraform, Data Pipelines, Databricks
- **Published:** October 6, 2026
- **Apply:** https://www.studentjob.at/stellenangebote/8862119-data-engineer-f-m-d

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, Business Informatics, or a related technical field, combined with hands-on experience in building and maintaining data processing pipelines
 * Strong expertise in data engineering technologies, including SQL, Python/Pandas, Spark, Azure Data Factory, and experience designing scalable data models and architectures
 * Solid understanding of modern data platforms and data lake and data warehousing technologies, as well as cloud environments including Azure, AWS, or GCP; knowledge of Databricks or Microsoft Fabric as an advantage
 * Experience with software development and agile methodologies, including CI/CD, Git, Scrum or Kanban; knowledge of Terraform, or Azure Bicep is considered a plus
 * Strong analytical, communication, and collaboration skills, with a self-driven and organized mindset, a passion for continuous learning, and fluency in English in an international business environment

## Description

Join PALFINGER's Digital Solutions team and help shape the future of data-driven innovation. As a Data Engineer, you will play a key role in developing and maintaining cloud-based data solutions that transform machine and process data into valuable business insights. Working closely with data scientists, engineers, and business experts, you will contribute to digital products and services that create value for customers and support PALFINGER's Strategy 2030+ vision of innovation, growth, and execution excellence., * Design, build, and maintain scalable data pipelines, ingestion processes, and transformation workflows that integrate data from a variety of sources, including cloud platforms, databases, APIs, configuration files and business applications

 * Develop and optimize cloud-based data architectures, data models, and data provisioning solutions to support analytics, reporting, and machine learning use cases
 * Ensure data quality and reliability across the data lifecycle by implementing DataOps best practices including monitoring, testing, validation and failure recovery mechanisms; support MLOps processes
 * Collaborate with cross-functional stakeholders to understand business requirements, deliver high-quality data products, maintain documentation, and contribute to PALFINGER's data strategy
 * Drive continuous improvement and innovation by evaluating new technologies, optimizing infrastructure and cloud costs, and staying up to date with industry trends and advancements