About the job
About Us
Founded in 2017, Unit8 is a rapidly expanding Swiss consulting firm specializing in AI and data analytics. We are committed to addressing the intricacies of traditional industries such as automotive, chemicals, financial services, manufacturing, and pharmaceuticals. Our collaboration with prominent organizations across Europe allows us to tackle critical business challenges encompassing operations, finance, manufacturing, and R&D. With over 300 successful projects and a team of more than 150 skilled professionals in five locations, we are on a mission to revolutionize the adoption of AI and Data Science in non-digital sectors, driving their digital transformation. We also invest time and resources into projects that resonate with our values, including pro-bono initiatives and engineering for good.
Your Role
As a pivotal member of our agile project teams, you will design, build, and maintain robust data solutions and infrastructures. You will delve into advanced data and AI topics, harnessing the full capabilities of the Palantir Foundry platform to tackle real-world business challenges for our clients.
Responsibilities include:
- Developing, deploying, and troubleshooting intricate data pipelines and processing systems utilizing a blend of open-source and proprietary technologies, with a primary focus on Palantir Foundry.
- Enhancing optimization, testing, and tooling to guarantee superior data quality.
- Collaborating with fellow software engineers, ML experts, and stakeholders in a dynamic, cross-functional agile environment.
- Engaging in multi-functional agile teams to continuously innovate, iterate, and achieve new product goals.
Your Profile
We seek a seasoned Palantir Foundry Engineer who is passionate about data and adept at resolving complex client challenges. Ideal candidates will possess:
- Proficiency with the Foundry Platform: Proven experience with AIP, Workshop, Code repository, and Pipeline Builder, alongside a firm grasp of security concepts within Foundry, including restricted views and markings. Familiarity with Ontology and Data connection is beneficial.
- Programming Expertise: Proficiency in Python and PySpark.
- Data Skills: Understanding of data modeling and foundational principles of data science is a plus.

