Foundry Data Engineer: Pipelines & AI Solutions

Unit8 Sa
Madrid, Spain
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Computer Programming Data Systems Python (Programming Language) Open Source Technology Pyspark Data Pipelines

Job description

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.

Requirements

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).

Benefits & conditions

  • 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

full_time

Organization Unit8 SA

About the company

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.

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