Palantir Foundry Engineer (Madrid, Spain)

Posted 2 Days Ago
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Madrid, Comunidad de Madrid, ESP
In-Office
Junior
Artificial Intelligence • Information Technology • Analytics
The Role
Design, build, and maintain data solutions and pipelines on Palantir Foundry. Develop, deploy, and troubleshoot data processing systems, drive data quality and testing, apply Foundry security concepts, collaborate with cross-functional agile teams, and engage with clients. Use Python and PySpark; travel up to 10%.
Summary Generated by Built In
Who We Are

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.


RequirementsWhat You’ll Do

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:

  • Developing, deploying, and troubleshooting complex data pipelines and processing systems using a variety of open-source and closed-source technologies, with a strong focus on Palantir Foundry.
  • Driving optimization, testing, and tooling to ensure exceptional data quality.
  • Collaborating with other software engineers, ML experts, and stakeholders in a cross-functional agile environment.
  • Working in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
About You

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

    • Demonstrated experience with AIP, Workshop, Code repository, and Pipeline Builder.
    • A solid understanding of security concepts within Foundry, including restricted views and markings.
    • Knowledge of Ontology and Data connection.
    • We're interested in the technical details of what you've built and how you approached the architecture of your Foundry use-cases.

* 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

  • A minimum of 1 year of experience working with the Foundry platform, ideally within a larger company where you may have had a focused but deep exposure.
  • Strong client-facing skills: You are comfortable interacting with both business and technical clients, giving presentations, and possess a strong problem-solving mindset.

* Other

  • You are willing to travel to meet with our clients and the team (up to 10% of your time).

BenefitsWhat We Offer
  • Work on client projects that have a concrete impact on their business.
  • Exposure to a wide variety of projects, industries, and technologies. Each client is different
  • Tailor-made mentorship programme.
  • Learning activities such as ML and Engineering Knowledge Sharing Groups.
  • Up to 10% of paid time for self-development.
  • Opportunity to join a fast-growing service company with a start-up atmosphere.
  • Cross offices/company-wide frequent events (off-site or on-line).
  • Fun Fund to spend with the team on after-work activities.
  • Compensation package including base salary and profit sharing based on the performance of the company

Skills Required

  • Demonstrated experience with Palantir Foundry (AIP, Workshop, Code repository, Pipeline Builder)
  • Understanding of Foundry security concepts including restricted views and markings
  • Knowledge of Ontology and Data connection within Foundry
  • Proficiency in Python
  • Proficiency in PySpark
  • Minimum of 1 year of experience working with the Foundry platform
  • Strong client-facing and presentation skills
  • Willingness to travel to meet clients and team (up to 10%)
  • Knowledge of data modeling and basic data science concepts (classification, clustering, regression)
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The Company
HQ: Lausanne
136 Employees
Year Founded: 2017

What We Do

Unit8 is a leading Swiss data services and consulting company with a mission to help non-digital native companies turn data into value with a mix of data science, analytics and AI. We operate at the intersection of technology and business to accompany our customers at every step of their data & AI journey. Based in Switzerland, operating across Europe. Trusted partner to dozens of well-known brands including Daimler, Firmenich, Merck, Julius Baer and WWF, Unit8 has a positive track record of having delivered over 200 data & AI projects. Headquartered in Lausanne (Switzerland) and with offices in Zurich (Switzerland), Krakow and Wroclaw (Poland), Unit8 employs over 140 world class data experts including former employees of Apple, Amazon, Google and Palantir. Unit8 accompanies customers at every step of their data & AI journey and offers the following portfolio of services: - Data & AI Consulting - Data & AI Solutions - Data & AI Platforms - Data & AI Operations - GenerativeAI Talk to us about your data & AI journey Unit8 takes pride in applying AI for good causes, offering data science help on a pro bono basis to NGOs, and is a big supporter and contributor to open source software and knowledge sharing. www: https://unit8.com Follow us: Twitter: https://twitter.com/unit8co Instagram: https://www.instagram.com/unit8.co/ Medium: https://medium.com/unit8-machine-learning-publication Youtube: https://www.youtube.com/c/Unit8co

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