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At PALFINGER, we have been lifting goods to a new level for over 90 years - with a pioneering and passionate spirit. As a global technology and engineering company, we are the world's leading manufacturer and supplier of innovative crane and lifting solutions. Our success is based on the tireless efforts of our approximately 12,350 employees, who contribute their ideas and energy to our vision. With us, you can expect a dynamic working environment full of opportunities for personal and professional development. Become part of our team and start your career at PALFINGER.
To strengthen our Data Science team in Bergheim (Salzburg), we are looking for a Data Engineer that will be responsible for developing, testing, and maintaining data processing and transformation routines and related data models as the foundation for data-driven business models. The role’s focus is to work closely with Data-Science team members and subject matter experts from other parts of the PALFINGER organization to understand data requirements and to ensure high quality and timely delivery of data products. This role requires a communicative, self-reliant, and hands-on person whose expertise lies within data engineering and who has a passion for finding new technical solutions within a fast-evolving environment.
Your responsibilities
* Design, implement and maintain data ingestion, transformation and provisioning
* Design data models and data architecture for effective data processing and storage
* DataOps: orchestrate and monitor data load processes, ensure data quality
* Support Machine Learning Operations (MLOps) with high-quality data products
* Create and maintain documentation
* Profound completed education in a technical field (engineering, computer science, business informatics or comparable).
* Good knowledge of and experience with design and implementation of data processing pipelines to extract, transform, and load data from a variety of data sources and formats.
* Good Knowledge of and experience with design and implementation of data models and data architectures.
* Good knowledge of and experience with programming languages, libraries and toolsets for Data Engineering (e.g. Python, Pandas, SQL, Spark, Azure Data Factory).
* Knowledge of and experience with specific data solutions like Databricks or MS Fabric, cloud solutions (e.g. MS Azure, Google Cloud Platform, Amazon Web Services) and software development tools and concepts (e.g. Git, CI/CD).
We offer
* Life balance through flexible working hours and freedom to organize your work
* Performance-related compensation
* Career and personal development opportunities in an international company
* Voluntary social benefits through our company's health management program PALfit
* Job ticket
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
* Industries: Machinery Manufacturing and Manufacturing
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