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Salary
$82k – $176k per year (Estimated)
Location
In office (Montreal)
Seniority
Senior · 5+ years exp
Employment
Full-Time
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.

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting, renowned for solving complex challenges in traditional industries such as automotive, chemical, financial services, manufacturing, and pharma. Our esteemed partnerships with industry giants like Palantir, NVIDIA, and OpenAI underscore our commitment to excellence. With over 200 successful projects and a team of 150+ talented professionals across Switzerland, Poland, and Germany, Spain and US we are now expanding our footprint to the Canada.

Unit8 is dedicated to driving AI adoption in non-digital industries, accelerating their digital transformation. We invest in projects that matter, including pro-bono initiatives and "engineering for good" causes.

Requirements

About You

Following our remarkable growth in Switzerland, Poland, Germany and US, Unit8 is expanding into the Canadian market. We are seeking a Senior Data Engineer who will work directly with customers, owning delivery strategy and implementation.

What 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 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 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.

What You Bring

The Experience

  • Deep Domain Expertise: Minimum 5 years of experience in software/data engineering or data science. You have deep expertise in at least one key domain (Data Engineering, Data Science, Cloud Engineering, or GenAI).
  • Commercial Fluency: proven experience in pre-sales, proposal design, or technical advisory where you influenced executive decision-making.
  • GenAI/LLM Context: For relevant tracks, you have past experience building solutions with LLMs and a deep understanding of the overall GenAI landscape (Evaluation, Training, Problem Decomposition).
  • Nice to have: extensive experience in data-related consulting, working on data strategy, architecture design and implementation of large-scale data solutions following client's requirements

The Mindset

  • You have an engineering mindset focused on delivering working solutions. You prioritize solving real business problems over theoretical perfection or academic benchmarks. You are animpact-driven problem solver eager to dive into complex client challenges, craft solutions, and see the direct impact of your work on their success.
  • You are comfortable working in a dynamic environment with evolving objectives. You can collaborate efficiently with both technical engineers and non-technical business stakeholders up to C-level.
  • You feel a sense of ownership over the company’s technical reputation and are eager to train those coming up behind you.

The Essentials

  • Experience with programming/scripting, such as Python and/or PySpark.
  • Proficiency in Palantir Foundry (nice-to-have)
  • Strong foundation in Computer Science, Mathematics, Physics, or related engineering fields.
  • Willingness to travel (min. 10%) to client sites to drive implementation success and build relationships.
  • A desire to drive thought leadership (LinkedIn, Blogs) and willingness to be a part of opening our Canadian office and expansion of our strategy and brand.
  • Strong client-facing skills: You are comfortable interacting with both business and technical clients, giving presentations, and possess a strong problem-solving mindset.

Location: perfectly you're currently located in Montreal, QC, Canada (or willing to relocate).

Benefits

What we offer?

  • High-Stakes Work: You will work on critical projects that transform how major industries operate.
  • A "Builder" Culture: We are not a slide-deck consultancy. We build things that work. You will be surrounded by engineers and data scientists who share your passion for execution.
  • Pioneering role and autonomy: As a key member of our growth in Canada, you will have the freedom to shape how we deliver value in this new market.
  • Groundbreaking Opportunity: You will play a pivotal role in establishing Unit8's footprint in the Canada, driving the growth and impact of our operations in this emerging market.
  • Final compensation will be determined based on the candidate’s qualifications, experience, and skills.

Unit8 is committed to creating a diverse and inclusive workplace where all individuals are valued and respected. We believe that diversity drives innovation and enhances our ability to serve our clients effectively. As an equal opportunity employer, we welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering an environment where everyone can thrive and contribute to our mission.

We look forward to hearing from you!

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