Data Engineer (f/m/d)

Palfinger Ag; Osterreich; Hybrid; PEN 215,000 - 263,000; Full time

Benefits offered by this job

Flexible working hours & remote work

International career opportunities

PALfit health management

Company restaurant with meals and meal

Job ticket for travel to PALFINGER

Employee discounts through Corporate B

Job summary

PALFINGER AG in Austria is looking for a Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data architectures that enable analytics, reporting and ML use cases. You will work with data scientists and engineers, implement DataOps practices, and help shape PALFINGER’s Strategy 2030+ through data-driven insights.

The role requires hands-on experience with SQL, Python, Spark, and cloud platforms (Azure, AWS or GCP) and a willingness to learn new technologies in a

Qualifications

• Bachelor’s or Master’s degree in a related technical field.
• Hands-on experience building data processing pipelines.
• Strong knowledge of SQL, Python/Pandas, Spark and cloud data tools.

Responsibilities

• Design, build, and maintain scalable data pipelines and transformations.
• Develop cloud-based data architectures for analytics and ML use cases.
• Ensure data quality and reliability with DataOps practices.
• Collaborate with stakeholders to deliver data products and document data strategy.
• Evaluate new technologies and optimize cloud costs.

Skills

Strong analytical skills

Excellent communication

Collaborative mindset

Fluency in English

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Business Informatics, or related field

Tools

SQL

Python/Pandas

Spark

Azure Data Factory

Databricks

Microsoft Fabric

Git

Terraform

Azure Bicep

Job description

Bergheim (Eurogast) |Posted on 16.10.2026

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.