Data Engineer (f/m/d)

Palfinger Ag; Lengfelden; Hybrid; EUR 55.000 - 67.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Work from home option

Company restaurant

Job ticket

PALfit health management

International career opportunities

Employee discounts

Zusammenfassung

PALFINGER AG in Austria is seeking a Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions. You will transform machine data into valuable business insights and collaborate with data scientists, engineers, and business experts to support analytics, reporting, and ML use cases.

Join PALFINGER’s Digital Solutions team to contribute to Strategy 2030+ with DataOps practices, data quality, and continuous innovation in a cloud-native environment.

Qualifikationen

• Degree in Computer Science, Engineering, Business Informatics, or related technical field with hands-on data pipeline experience.
• Experience with data processing pipelines, data modeling, and cloud data architectures.
• Strong English communication in an international business environment.

Aufgaben

• Design, build, and maintain scalable data pipelines and transformation workflows from diverse sources.
• Develop cloud-based data models and provisioning to support analytics and ML use cases.
• Ensure data quality and reliability with DataOps practices including monitoring and validation.
• Collaborate with stakeholders to understand requirements and contribute to data strategy.
• Stay updated on industry trends and optimize cloud costs.

Kenntnisse

SQL

Python/Pandas

Spark

CI/CD

Git

Scrum/Kanban

Ausbildung

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Azure Data Factory

Databricks

Terraform

Azure Bicep

Jobbeschreibung

For more than 90 years, PALFINGER has set benchmarks with innovative crane and lifting solutions worldwide. As a leading technology and mechanical engineering company, we transform customer needs into seamlessly integrated solutions while providing opportunities for our people to grow, collaborate, and push beyond limits. We foster an environment where we reach up, reach out, and reach beyond. Become part of our team and let’s lift each other to create what’s next.

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.

YOUR RESPONSIBILITIES

• 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

YOUR QUALIFICATIONS

• 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

WE OFFER

• Flexible working hours with no core time and possibility to work from home
• Further training and international career opportunities
• Corporate health management "PALfit"
• Company restaurant with freshly prepared meals and daily meal subsidy
• Job ticket for travel to and from PALFINGER
• Numerous employee discounts through Corporate Benefits

Minimum yearly gross salary according to the Austrian metal industry collective agreement is EUR 60.962,30 based on full-time employment. According to experience and qualification, we offer a market-conforming overpayment.