
51 - 200 employees
Founded 2019
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
GT is a product development studio that specializes in providing offshore product teams and data science services to high-growth companies worldwide. Founded by professionals with backgrounds from major tech companies like Apple, Nest, and Google, GT operates from locations including Canada, Poland, the UK, and Ukraine. The company is dedicated to supporting and empowering its clients through innovative solutions, talent acquisition, and end-to-end product development.
🔥 0 minutes ago
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51 - 200 employees
Founded 2019
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
GT is a product development studio that specializes in providing offshore product teams and data science services to high-growth companies worldwide. Founded by professionals with backgrounds from major tech companies like Apple, Nest, and Google, GT operates from locations including Canada, Poland, the UK, and Ukraine. The company is dedicated to supporting and empowering its clients through innovative solutions, talent acquisition, and end-to-end product development.
• Play a critical role in developing, maintaining, and scaling the pipelines and data systems that power the client's unified data platform. • Design and maintain robust, scalable ETL/ELT pipelines to ingest and process third-party and first-party datasets. • Apply transformation, normalization, and enrichment rules to ensure data consistency and usability. • Work with product managers, data architects, and content experts to align data structure with business needs. • Support the implementation of data matching and entity resolution processes using AI/ML tools and proprietary frameworks. • Build alerts, logs, and metrics to ensure data flows remain healthy and issues are identified and resolved quickly. • Build and maintain data pipelines using dbt, developing models from raw data through staging and intermediate layers up to final semantic models for use in analytics and dashboards. • Contribute to documentation, code quality standards, and internal best practices to ensure maintainability.
• 4–8 years in data engineering, with experience in building production-grade data pipelines. • Proficient in SQL, Python, and dbt, with strong experience in Snowflake. • Additional experience with Spark, Airflow, and Azure Data Lake or similar technologies. • Familiarity with Azure (preferred) or other major cloud platforms. • Understanding of data modeling, version control, CI/CD, and data governance principles. • Proactive, detail-oriented, and eager to take ownership of projects and continuously improve systems. • Comfortable working in a cross-functional environment and open to learning from and supporting teammates.
• Join a fast-growing, high-impact team at the intersection of 2 key projects, building a data product core to client’s future. • Contribute to an ambitious effort to create the highest quality, most comprehensive business directory in the world. • Be part of a project, a startup-style group within the company that’s redefining how we deliver consulting through productization and data innovation. • Work with cutting-edge data tools, including AI/ML enrichment, semantic matching, and modern cloud-based infrastructure.
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