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.