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Unit8 SA in Austria is seeking a Palantir Foundry Engineer to design, build and maintain robust data solutions for diverse clients. You will work in agile teams on cutting-edge data and AI topics using Foundry to solve real-world business problems.
You should have Foundry platform knowledge, Python and PySpark, and the ability to engage with business and technical stakeholders. Travel up to 10% is expected, with cross-office collaboration across Europe.
Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organisations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D. Since our foundation, we have successfully delivered more than 300 projects and have grown to 150+ talented individuals across 5 office locations.
Unit8's mission is to drive the adoption of AI and Data Science in the non-digital industries and to help accelerate their digital transformation. Among its activities, Unit8 dedicates a part of its resources and time on projects that deeply matter to us - that includes collaboration on pro-bono and \"engineering for good\" causes.
As a core member of our agile project teams, you will be responsible for designing, building, and maintaining robust data solutions and infrastructure. You will work on cutting-edge data and AI topics, leveraging the full potential of the Foundry platform to solve real-world business problems for our clients.
Your responsibilities will include:
We are looking for an experienced Palantir Foundry Engineer with a passion for data and solving complex client challenges. You should be a skilled professional who has:
* Foundry Platform Knowledge
* Programming Skills - proficiency in Python and PySpark.
* Data Skills (Nice-to-have) - knowledge of data modeling and basic concepts of data science (classification, clustering, regression).
* Professional Experience
* Other