About The Position

Unit8 is expanding into the Canadian market and is seeking a Senior Data Engineer to work directly with customers, owning delivery strategy and implementation. This role involves designing, building, and maintaining robust data solutions and infrastructure, working on cutting-edge data and AI topics to solve real-world business problems for clients.

Requirements

  • Minimum 5 years of experience in software/data engineering or data science.
  • Deep expertise in at least one key domain (Data Engineering, Data Science, Cloud Engineering, or GenAI).
  • Proven experience in pre-sales, proposal design, or technical advisory where you influenced executive decision-making.
  • For relevant tracks, past experience building solutions with LLMs and a deep understanding of the overall GenAI landscape (Evaluation, Training, Problem Decomposition).
  • Experience with programming/scripting, such as Python and/or PySpark.
  • 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.
  • Currently located in Montreal, QC, Canada (or willing to relocate).

Nice To Haves

  • Proficiency in Palantir Foundry
  • Extensive experience in data-related consulting, working on data strategy, architecture design and implementation of large-scale data solutions following client's requirements

Responsibilities

  • 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.

Benefits

  • Final compensation will be determined based on the candidate’s qualifications, experience, and skills.
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