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
Qualifications
* Must have: 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
Minimum yearly gross salary according to Austrian metal industry collective agreement is EUR 52.197,04 based on full-time employment. According to experience and qualification, we offer a market-conform overpayment.
Are you interested in the position and still have questions? Please do not hesitate to contact us.
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