Data Engineer (f/m/d)

PALFINGER; Bergheim; Hybrid; EUR 55.000 - 67.000; Vollzeit

Benefits dieser Stelle

Flexible hours

PALfit health program

Company restaurant with meals

Job ticket

Employee discounts

Zusammenfassung

PALFINGER is seeking a Data Engineer to join its Digital Solutions team. You will design and maintain scalable data pipelines and cloud-based architectures to transform machine and process data into valuable business insights.

You will collaborate with data scientists, engineers, and business experts to enable data-driven decision making. The role requires hands-on experience with SQL, Python/Pandas, Spark, and cloud platforms (Azure/AWS/GCP), plus knowledge of DataOps and MLOps practices.

Qualifikationen

• Bachelor's or Master's degree in Computer Science, Engineering, Business Informatics, or a related technical field, with hands-on data processing experience.
• Strong expertise in SQL, Python/Pandas, Spark, Azure Data Factory, and scalable data models/architectures.
• Experience with cloud environments (Azure, AWS, GCP) and modern data platforms (data warehouses, data lakes).
• Familiarity with CI/CD, Git, Scrum/Kanban; knowledge of Databricks is a plus; English in international environments.

Aufgaben

• Design, build, and maintain scalable data pipelines integrating data from diverse sources and cloud platforms.
• Develop cloud-based data architectures and data provisioning for analytics and ML use cases.
• Ensure data quality and reliability with monitoring, testing, and DataOps practices.

Kenntnisse

SQL

Python/Pandas

Spark

Azure Data Factory

Databricks

English fluency

Agile methodologies

Ausbildung

Bachelor's or Master's in CS/Engineering/Business Informatics

Tools

Azure

AWS

GCP

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.

Data Engineer (f/m/d)

Join PALFINGER's Digital Solutions team and help shape the future of data-driven innovation. As a Senior Cloud/AI/ML Architect, 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, 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 by implementing monitoring, testing, validation, failure recovery mechanisms, and DataOps best practices across the data lifecycle
• 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, supporting MLOps initiatives, 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, such as data warehouses, data lakes, and big data technologies, as well as cloud environments including Azure, AWS, or GCP
• Experience with software development and agile methodologies, including CI/CD, Git, Scrum, or Kanban; knowledge of Databricks, Microsoft Fabric, 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.