DATA ENGINEER (f/m/d) (Bergheim, AT)

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 Coordinate with internal and external partners and stakeholders _____ YOUR QUALIFICATIONS Completed education in a technical field (engineering, computer science, business informatics or comparable) Experience in designing and implementing data processing pipelines, data models and data architectures Strong knowledge of programming languages, libraries and toolsets for Data Engineering (e.g. Python, Pandas, SQL, Spark, Azure Data Factory) Experience with specific data solutions like Databricks or MS Fabric Knowledge of cloud platforms (e.g. MS Azure, GCP, AWS) and software development tools and concepts (e.g. Git, CI/CD) _____ WHAT 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 53.241,02 based on full-time employment. According to experience and qualification, we offer a market-conforming overpayment.