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Data science engineer

GenPark
Vancouver, British Columbia, Canada
Full-time
Applications go directly to the hiring team

GenPark is seeking a Data Science Engineer to join their innovative team in Vancouver. This hybrid role offers the opportunity to work on cutting-edge data solutions that shape marketing strategies for global brands aimed at engaging Gen Z audiences.

Full-time
Hybrid
Bachelor's or Master's degree

Skills & Expertise

Data Engineering
Extract, Transform, Load (ETL)
Data Modeling
Data Warehousing
Data Analytics
Python
SQL
Scala

Key Responsibilities

Design and implement scalable data pipelines for ETL processes.

Build robust data models and manage data warehousing solutions.

Collaborate with teams to generate insights and enhance data technologies.

Full Description

Company Description

GenPark is a cutting-edge discovery platform transforming global commerce by introducing intelligent, agent-driven marketing solutions. Through the use of Intelligent Brand Agents and User Agents, GenPark ensures precise product, content, and experience matches for consumers based on behavior and context. Utilizing personalized AI content, interactive agents, and immersive video, the platform empowers brands to engage and convert Gen Z audiences globally. GenPark is at the forefront of redefining marketing efficiency in the agent-first era.

Role Description

This is a full-time hybrid role for a Data Science Engineer based in Vancouver, BC, with the flexibility for some remote work. In this role, you will design and implement scalable data pipelines for Extract, Transform, Load (ETL) processes, build robust data models, and manage data warehousing solutions to support analytics and business intelligence. Collaborating with cross-functional teams, you will develop and optimize data-driven workflows, perform data analysis to generate valuable insights, and contribute to the improvement of data technologies and strategies. You will also be responsible for ensuring data quality, accuracy, and accessibility across the organization.

Qualifications

* Strong expertise in Data Engineering and Extract, Transform, Load (ETL) processes

* Solid experience with Data Modeling and Data Warehousing

* Proficiency in Data Analytics, including tools and techniques for deriving actionable insights

* Familiarity with cloud-based data platforms and storage solutions (e.g., AWS, Azure, or Google Cloud) is a plus

* Experience with programming languages such as Python, SQL, or Scala

* Strong problem-solving skills and an analytical mindset

* Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field

* Ability to collaborate effectively in a hybrid work environment

Applications go to the hiring team directly