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Salary
≈ $56k – $99k per year (Estimated)
Location
In office (Kraków, Warsaw, Wrocław)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Jun 30, 2026. Unit8 scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Unit8 is a fast-growing Swiss data services and consulting firm that helps traditional, non-digital native companies transform their operations through data science, analytics, and artificial intelligence. Founded in 2017 and headquartered in Lausanne, the company operates internationally to deliver end-to-end data solutions, platform integrations, and generative AI services for global blue-chip clients. By operating at the intersection of business strategy and advanced technology, Unit8 empowers large organizations to solve complex challenges and extract actionable value from their data.

Who We Are

Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics consulting company dedicated to solving complex problems in traditional industries - automotive, chemical, financial services, manufacturing, and pharma. We work with some of the biggest organisations in Europe on challenges that directly affect their business. Since our foundation, we have successfully delivered more than 250 projects and grown to 160+ talented individuals across 8 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. You can learn more about what we are passionate about at Unit8 Talks and on our website you can find more useful information about our business and recruiting process.

Requirements

About You

As a member of agile project teams, your mission will be to build solutions and infrastructure aiming at solving the business problems of our clients.

  • You are a proficient software engineer who knows the fundamentals of computer science and you master the Python programming language.
  • You know how to write distributed services andwork with high-volume heterogeneous data, preferably with distributed systems such as Spark.
  • You have experience working with cloud data platforms (Databricks or Snowflake preferred)
  • You are knowledgeable about data governance, data access, and data storage techniques.
  • You have strong client-facing skills: comfortable interacting with clients (business & technical audience), delivering presentations, problem-solving mindset.
  • You are willing to travel to meet with our clients and the team (mainly in Europe - up to 10% of your time).
  • You are eligible to register as a sole trader (self-employment) in Poland.

What You’ll Do

  • Design, build, maintain, and troubleshoot data pipelines and processing systems that are relied on for both production and analytics applications, using a variety of open-source and closed-source technologies.
  • Help drive optimization, testing, and tooling to improve data quality.
  • Collaborate with other software engineers, ML experts, and stakeholders, taking learning and leadership opportunities that will arise every single day.
  • Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.

Benefits

What we offer

  • Opportunity to shape the expansion of leading Swiss data & AI consultancies
  • Compensation package including base salary, yearly bonus based on the both individual + company performance
  • Above the norm flexibility regarding when and from where you work as long as both client and internal commitments are met
  • Work on cutting-edge data, AI & analytics topics (e.g., Generative AI) that have real impact across industries
  • Dedicated time and budget for training and pro-bono projects
  • 30 paid days off
  • Private health care and Multisport
  • Cross offices/company-wide frequent events (off-site or online) as well as quarterly budget to spend with the team on after-work activities
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